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37962176 | ChatGPT in urology practice: revolutionizing efficiency and patient care with generative artificial intelligence. | 2,024 | Current opinion in urology | PURPOSE OF REVIEW: ChatGPT has emerged as a potentially useful tool for healthcare. Its role in urology is in its infancy and has much potential for research, clinical practice and for patient assistance. With this narrative review, we want to draw a picture of what is known about ChatGPT's integration in urology, alon... | Nedbal C; Naik N; Castellani D; Gauhar V; Geraghty R; Somani BK | 0-1 | |||
38976174 | Application of Artificial Intelligence in the Headache Field. | 2,024 | Current pain and headache reports | PURPOSE OF REVIEW: Headache disorders are highly prevalent worldwide. Rapidly advancing capabilities in artificial intelligence (AI) have expanded headache-related research with the potential to solve unmet needs in the headache field. We provide an overview of AI in headache research in this article. RECENT FINDINGS: ... | Ihara K; Dumkrieger G; Zhang P; Takizawa T; Schwedt TJ; Chiang CC | 10 | |||
37729050 | Large language models and the future of rheumatology: assessing impact and emerging opportunities. | 2,024 | Current opinion in rheumatology | PURPOSE OF REVIEW: Large language models (LLMs) have grown rapidly in size and capabilities as more training data and compute power has become available. Since the release of ChatGPT in late 2022, there has been growing interest and exploration around potential applications of LLM technology. Numerous examples and pilo... | Mannstadt I; Mehta B | 10 | |||
38060133 | Machine Learning and Artificial Intelligence Applications to Epilepsy: a Review for the Practicing Epileptologist. | 2,023 | Current neurology and neuroscience reports | PURPOSE OF REVIEW: Machine Learning (ML) and Artificial Intelligence (AI) are data-driven techniques to translate raw data into applicable and interpretable insights that can assist in clinical decision making. Some of these tools have extremely promising initial results, earning both great excitement and creating hype... | Kerr WT; McFarlane KN | 10 | |||
38277274 | Applications of artificial intelligence-enabled robots and chatbots in ophthalmology: recent advances and future trends. | 2,024 | Current opinion in ophthalmology | PURPOSE OF REVIEW: Recent advances in artificial intelligence (AI), robotics, and chatbots have brought these technologies to the forefront of medicine, particularly ophthalmology. These technologies have been applied in diagnosis, prognosis, surgical operations, and patient-specific care in ophthalmology. It is thus b... | Madadi Y; Delsoz M; Khouri AS; Boland M; Grzybowski A; Yousefi S | 0-1 | |||
38032442 | An Introduction to Generative Artificial Intelligence in Mental Health Care: Considerations and Guidance. | 2,023 | Current psychiatry reports | PURPOSE OF REVIEW: This paper provides an overview of generative artificial intelligence (AI) and the possible implications in the delivery of mental health care. RECENT FINDINGS: Generative AI is a powerful technology that is changing rapidly. As psychiatrists, it is important for us to understand generative AI techno... | King DR; Nanda G; Stoddard J; Dempsey A; Hergert S; Shore JH; Torous J | 0-1 | |||
39450858 | A comparison of drug information question responses by a drug information center and by ChatGPT. | 2,025 | American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists | PURPOSE: A study was conducted to assess the accuracy and ability of Chat Generative Pre-trained Transformer (ChatGPT) to systematically respond to drug information inquiries relative to responses of a drug information center (DIC). METHODS: Ten drug information questions answered by the DIC in 2022 or 2023 were select... | Triplett S; Ness-Engle GL; Behnen EM | 10 | |||
38648540 | How do we teach generative artificial intelligence to medical educators? Pilot of a faculty development workshop using ChatGPT. | 2,025 | Medical teacher | PURPOSE: Artificial intelligence (AI) is already impacting the practice of medicine and it is therefore important for future healthcare professionals and medical educators to gain experience with the benefits, limitations, and applications of this technology. The purpose of this project was to develop, implement, and e... | Chadha N; Popil E; Gregory J; Armstrong-Davies L; Justin G | 10 | |||
40125532 | Integrating ChatGPT as a Tool in Pharmacy Practice: A Cross-Sectional Exploration Among Pharmacists in Saudi Arabia. | 2,025 | Integrated pharmacy research & practice | PURPOSE: Artificial Intelligence (AI), especially ChatGPT, is rapidly assimilating into healthcare, providing significant advantages in pharmacy practice, such as improved clinical decision-making, patient counselling, and drug information management. The adoption of AI tools is heavily contingent upon pharmacy practit... | Alghitran A; AlOsaimi HM; Albuluwi A; Almalki EO; Aldowayan AZ; Alharthi R; Qattan JM; Alghamdi F; AlHalabi M; Almalki NA; Alharthi A; Alshammari A; Kanan M | 10 | |||
39494261 | Evaluating the Accuracy of Large Language Model (ChatGPT) in Providing Information on Metastatic Breast Cancer. | 2,024 | Advanced pharmaceutical bulletin | PURPOSE: Artificial intelligence (AI), particularly large language models like ChatGPT developed by OpenAI, has demonstrated potential in various domains, including medicine. While ChatGPT has shown the capability to pass rigorous exams like the United States Medical Licensing Examination (USMLE) Step 1, its proficienc... | Gummadi R; Dasari N; Kumar DS; Pindiprolu SKSS | 0-1 | |||
37578849 | Comparative Performance of ChatGPT and Bard in a Text-Based Radiology Knowledge Assessment. | 2,024 | Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes | PURPOSE: Bard by Google, a direct competitor to ChatGPT, was recently released. Understanding the relative performance of these different chatbots can provide important insight into their strengths and weaknesses as well as which roles they are most suited to fill. In this project, we aimed to compare the most recent v... | Patil NS; Huang RS; van der Pol CB; Larocque N | 0-1 | |||
39348666 | Informatics and Artificial Intelligence-Guided Assessment of the Regulatory and Translational Research Landscape of First-in-Class Oncology Drugs in the United States, 2018-2022. | 2,024 | JCO clinical cancer informatics | PURPOSE: Cancer drug development remains a critical but challenging process that affects millions of patients and their families. Using biomedical informatics and artificial intelligence (AI) approaches, we assessed the regulatory and translational research landscape defining successful first-in-class drugs for patient... | Ronquillo JG; South B; Naik P; Singh R; De Jesus M; Watt SJ; Habtezion A | 0-1 | |||
38650670 | The Application of ChatGPT in Medicine: A Scoping Review and Bibliometric Analysis. | 2,024 | Journal of multidisciplinary healthcare | PURPOSE: ChatGPT has a wide range of applications in the medical field. Therefore, this review aims to define the key issues and provide a comprehensive view of the literature based on the application of ChatGPT in medicine. METHODS: This scope follows Arksey and O'Malley's five-stage framework. A comprehensive literat... | Wu J; Ma Y; Wang J; Xiao M | 0-1 | |||
38866652 | Evaluating ChatGPT to test its robustness as an interactive information database of radiation oncology and to assess its responses to common queries from radiotherapy patients: A single institution investigation. | 2,024 | Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique | PURPOSE: Commercial vendors have created artificial intelligence (AI) tools for use in all aspects of life and medicine, including radiation oncology. AI innovations will likely disrupt workflows in the field of radiation oncology. However, limited data exist on using AI-based chatbots about the quality of radiation on... | Pandey VK; Munshi A; Mohanti BK; Bansal K; Rastogi K | 43 | |||
38393353 | An introduction to machine learning and generative artificial intelligence for otolaryngologists-head and neck surgeons: a narrative review. | 2,024 | European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery | PURPOSE: Despite the robust expansion of research surrounding artificial intelligence (AI) and machine learning (ML) and their applications to medicine, these methodologies often remain opaque and inaccessible to many otolaryngologists. Especially, with the increasing ubiquity of large-language models (LLMs), such as C... | Alter IL; Chan K; Lechien J; Rameau A | 32 | |||
37334036 | Evaluating the Performance of ChatGPT in Ophthalmology: An Analysis of Its Successes and Shortcomings. | 2,023 | Ophthalmology science | PURPOSE: Foundation models are a novel type of artificial intelligence algorithms, in which models are pretrained at scale on unannotated data and fine-tuned for a myriad of downstream tasks, such as generating text. This study assessed the accuracy of ChatGPT, a large language model (LLM), in the ophthalmology questio... | Antaki F; Touma S; Milad D; El-Khoury J; Duval R | 21 | |||
37792149 | Performance evaluation of ChatGPT, GPT-4, and Bard on the official board examination of the Japan Radiology Society. | 2,024 | Japanese journal of radiology | PURPOSE: Herein, we assessed the accuracy of large language models (LLMs) in generating responses to questions in clinical radiology practice. We compared the performance of ChatGPT, GPT-4, and Google Bard using questions from the Japan Radiology Board Examination (JRBE). MATERIALS AND METHODS: In total, 103 questions ... | Toyama Y; Harigai A; Abe M; Nagano M; Kawabata M; Seki Y; Takase K | 21 | |||
38801461 | [ChatGPT and the German board examination for ophthalmology: an evaluation]. | 2,024 | Die Ophthalmologie | PURPOSE: In recent years artificial intelligence (AI), as a new segment of computer science, has also become increasingly more important in medicine. The aim of this project was to investigate whether the current version of ChatGPT (ChatGPT 4.0) is able to answer open questions that could be asked in the context of a G... | Yaici R; Cieplucha M; Bock R; Moayed F; Bechrakis NE; Berens P; Feltgen N; Friedburg D; Graf M; Guthoff R; Hoffmann EM; Hoerauf H; Hintschich C; Kohnen T; Messmer EM; Nentwich MM; Pleyer U; Schaudig U; Seitz B; Geerling G; Roth M | 21 | |||
37577545 | From Answers to Insights: Unveiling the Strengths and Limitations of ChatGPT and Biomedical Knowledge Graphs. | 2,023 | Research square | PURPOSE: Large Language Models (LLMs) have shown exceptional performance in various natural language processing tasks, benefiting from their language generation capabilities and ability to acquire knowledge from unstructured text. However, in the biomedical domain, LLMs face limitations that lead to inaccurate and inco... | Hou Y; Yeung J; Xu H; Su C; Wang F; Zhang R | 10 | |||
39741798 | Patient Support in Obstructive Sleep Apnoea by a Large Language Model - ChatGPT 4o on Answering Frequently Asked Questions on First Line Positive Airway Pressure and Second Line Hypoglossal Nerve Stimulation Therapy: A Pilot Study. | 2,024 | Nature and science of sleep | PURPOSE: Obstructive sleep apnoea (OSA) is a common disease that benefits from early treatment and patient support in order to prevent secondary illnesses. This study assesses the capability of the large language model (LLM) ChatGPT-4o to offer patient support regarding first line positive airway pressure (PAP) and sec... | Pordzik J; Bahr-Hamm K; Huppertz T; Gouveris H; Seifen C; Blaikie A; Matthias C; Kuhn S; Eckrich J; Buhr CR | 0-1 | |||
39661913 | Comparative Analysis of Generative Pre-Trained Transformer Models in Oncogene-Driven Non-Small Cell Lung Cancer: Introducing the Generative Artificial Intelligence Performance Score. | 2,024 | JCO clinical cancer informatics | PURPOSE: Precision oncology in non-small cell lung cancer (NSCLC) relies on biomarker testing for clinical decision making. Despite its importance, challenges like the lack of genomic oncology training, nonstandardized biomarker reporting, and a rapidly evolving treatment landscape hinder its practice. Generative artif... | Hamilton Z; Aseem A; Chen Z; Naffakh N; Reizine NM; Weinberg F; Jain S; Kessler LG; Gadi VK; Bun C; Nguyen RH | 10 | |||
37668790 | Performance of ChatGPT in Israeli Hebrew OBGYN national residency examinations. | 2,023 | Archives of gynecology and obstetrics | PURPOSE: Previous studies of ChatGPT performance in the field of medical examinations have reached contradictory results. Moreover, the performance of ChatGPT in other languages other than English is yet to be explored. We aim to study the performance of ChatGPT in Hebrew OBGYN-'Shlav-Alef' (Phase 1) examination. METHO... | Cohen A; Alter R; Lessans N; Meyer R; Brezinov Y; Levin G | 21 | |||
37530687 | Exploring the Role of a Large Language Model on Carpal Tunnel Syndrome Management: An Observation Study of ChatGPT. | 2,023 | The Journal of hand surgery | PURPOSE: Recently, large language models, such as ChatGPT, have emerged as promising tools to facilitate scientific research and health care management. The present study aimed to explore the extent of knowledge possessed by ChatGPT concerning carpal tunnel syndrome (CTS), a compressive neuropathy that may lead to impa... | Seth I; Xie Y; Rodwell A; Gracias D; Bulloch G; Hunter-Smith DJ; Rozen WM | 32 | |||
37566133 | Will artificial intelligence chatbots replace clinical pharmacologists? An exploratory study in clinical practice. | 2,023 | European journal of clinical pharmacology | PURPOSE: Recently, there has been a growing interest in using ChatGPT for various applications in Medicine. We evaluated the interest of OpenAI chatbot (GPT 4.0) for drug information activities at Toulouse Pharmacovigilance Center. METHODS: Based on a series of 50 randomly selected questions sent to our pharmacovigilan... | Montastruc F; Storck W; de Canecaude C; Victor L; Li J; Cesbron C; Zelmat Y; Barus R | 10 | |||
38821410 | Reliability and readability analysis of ChatGPT-4 and Google Bard as a patient information source for the most commonly applied radionuclide treatments in cancer patients. | 2,024 | Revista espanola de medicina nuclear e imagen molecular | PURPOSE: Searching for online health information is a popular approach employed by patients to enhance their knowledge for their diseases. Recently developed AI chatbots are probably the easiest way in this regard. The purpose of the study is to analyze the reliability and readability of AI chatbot responses in terms o... | San H; Bayrakci O; Cagdas B; Serdengecti M; Alagoz E | 43 | |||
39831699 | A randomised cross-over trial assessing the impact of AI-generated individual feedback on written online assignments for medical students. | 2,025 | Medical teacher | PURPOSE: Self-testing has been proven to significantly improve not only simple learning outcomes, but also higher-order skills such as clinical reasoning in medical students. Previous studies have shown that self-testing was especially beneficial when it was presented with feedback, which leaves the question whether an... | Nissen L; Rother JF; Heinemann M; Reimer LM; Jonas S; Raupach T | 21 | |||
38304112 | Exploring Capabilities of Large Language Models such as ChatGPT in Radiation Oncology. | 2,024 | Advances in radiation oncology | PURPOSE: Technological progress of machine learning and natural language processing has led to the development of large language models (LLMs), capable of producing well-formed text responses and providing natural language access to knowledge. Modern conversational LLMs such as ChatGPT have shown remarkable capabilitie... | Dennstadt F; Hastings J; Putora PM; Vu E; Fischer GF; Suveg K; Glatzer M; Riggenbach E; Ha HL; Cihoric N | 0-1 | |||
38717951 | Using ChatGPT-4 to Analyze 24-Hour Urine Results and Generate Custom Dietary Recommendations for Nephrolithiasis. | 2,024 | Journal of endourology | Purpose: The increasing incidence of nephrolithiasis underscores the need for effective, accessible tools to aid urologists in preventing recurrence. Despite dietary modification's crucial role in prevention, targeted dietary counseling using 24-hour urine collections is underutilized. This study evaluates ChatGPT-4, a... | Kiriakedis S; Duty B; Chase T; Wusirika R; Metzler I | 0-1 | |||
37776392 | Evaluating ChatGPT responses in the context of a 53-year-old male with a femoral neck fracture: a qualitative analysis. | 2,024 | European journal of orthopaedic surgery & traumatology : orthopedie traumatologie | PURPOSE: The integration of artificial intelligence (AI) tools, such as ChatGPT, in clinical medicine and medical education has gained significant attention due to their potential to support decision-making and improve patient care. However, there is a need to evaluate the benefits and limitations of these tools in spe... | Zhou Y; Moon C; Szatkowski J; Moore D; Stevens J | 32 | |||
38661379 | Keeping Up With ChatGPT: Evaluating Its Recognition and Interpretation of Nuclear Medicine Images. | 2,024 | Clinical nuclear medicine | PURPOSE: The latest iteration of GPT4 (generative pretrained transformer) is a large multimodal model that can integrate both text and image input, but its performance with medical images has not been systematically evaluated. We studied whether ChatGPT with GPT-4V(ision) can recognize images from common nuclear medici... | Rogasch JMM; Jochens HV; Metzger G; Wetz C; Kaufmann J; Furth C; Amthauer H; Schatka I | 0-1 | |||
37790756 | Benchmarking ChatGPT-4 on a radiation oncology in-training exam and Red Journal Gray Zone cases: potentials and challenges for ai-assisted medical education and decision making in radiation oncology. | 2,023 | Frontiers in oncology | PURPOSE: The potential of large language models in medicine for education and decision-making purposes has been demonstrated as they have achieved decent scores on medical exams such as the United States Medical Licensing Exam (USMLE) and the MedQA exam. This work aims to evaluate the performance of ChatGPT-4 in the sp... | Huang Y; Gomaa A; Semrau S; Haderlein M; Lettmaier S; Weissmann T; Grigo J; Tkhayat HB; Frey B; Gaipl U; Distel L; Maier A; Fietkau R; Bert C; Putz F | 21 | |||
38066714 | Genetic counselors' utilization of ChatGPT in professional practice: A cross-sectional study. | 2,024 | American journal of medical genetics. Part A | PURPOSE: The precision medicine era has seen increased utilization of artificial intelligence (AI) in the field of genetics. We sought to explore the ways that genetic counselors (GCs) currently use the publicly accessible AI tool Chat Generative Pre-trained Transformer (ChatGPT) in their work. METHODS: GCs in North Am... | Ahimaz P; Bergner AL; Florido ME; Harkavy N; Bhattacharyya S | 0-1 | |||
40352999 | Fruits of the Professional Educator Appreciation and Recognition (PEAR) Awards: Learning what Students Value in Their Medical Educators. | 2,025 | Medical science educator | PURPOSE: The Professional Educator Appreciation and Recognition (PEAR) awards program was created by students at Baylor College of Medicine (BCM) in 2020 to recognize exemplary educators. We reviewed our 3-year experience of this initiative to identify characteristics of award-winning educators, and to assess the award... | Tomlinson M; Nasto K; Gosselin K; Friedman EM; Gill A; Rose S | 10 | |||
39110155 | Accuracy and Completeness of Large Language Models About Antibody-Drug Conjugates and Associated Ocular Adverse Effects. | 2,024 | Cornea | PURPOSE: The purpose of this study was to assess the accuracy and completeness of 3 large language models (LLMs) to generate information about antibody-drug conjugate (ADC)-associated ocular toxicities. METHODS: There were 22 questions about ADCs, tisotumab vedotin, and mirvetuximab soravtansine that were developed and... | Marshall R; Xu H; Dalvin LA; Mishra K; Edalat C; Kirupaharan N; Francis JH; Berkenstock M | 10 | |||
38615289 | Geriatrics and artificial intelligence in Spain (Ger-IA project): talking to ChatGPT, a nationwide survey. | 2,024 | European geriatric medicine | PURPOSE: The purposes of the study was to describe the degree of agreement between geriatricians with the answers given by an AI tool (ChatGPT) in response to questions related to different areas in geriatrics, to study the differences between specialists and residents in geriatrics in terms of the degree of agreement ... | Rossello-Jimenez D; Docampo S; Collado Y; Cuadra-Llopart L; Riba F; Llonch-Masriera M | 43 | |||
38206515 | Repeatability, reproducibility, and diagnostic accuracy of a commercial large language model (ChatGPT) to perform emergency department triage using the Canadian triage and acuity scale. | 2,024 | CJEM | PURPOSE: The release of the ChatGPT prototype to the public in November 2022 drastically reduced the barrier to using artificial intelligence by allowing easy access to a large language model with only a simple web interface. One situation where ChatGPT could be useful is in triaging patients arriving to the emergency ... | Franc JM; Cheng L; Hart A; Hata R; Hertelendy A | 10 | |||
38217726 | ChatGPT vs UpToDate: comparative study of usefulness and reliability of Chatbot in common clinical presentations of otorhinolaryngology-head and neck surgery. | 2,024 | European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery | PURPOSE: The usage of Chatbots as a kind of Artificial Intelligence in medicine is getting to increase in recent years. UpToDate(R) is another well-known search tool established on evidence-based knowledge and is used daily by doctors worldwide. In this study, we aimed to investigate the usefulness and reliability of C... | Karimov Z; Allahverdiyev I; Agayarov OY; Demir D; Almuradova E | 32 | |||
38218659 | An evaluation of AI generated literature reviews in musculoskeletal radiology. | 2,024 | The surgeon : journal of the Royal Colleges of Surgeons of Edinburgh and Ireland | PURPOSE: The use of artificial intelligence (AI) tools to aid in summarizing information in medicine and research has recently garnered a huge amount of interest. While tools such as ChatGPT produce convincing and naturally sounding output, the answers are sometimes incorrect. Some of these drawbacks, it is hoped, can ... | Jenko N; Ariyaratne S; Jeys L; Evans S; Iyengar KP; Botchu R | 10 | |||
38977032 | Performance of GPT-3.5 and GPT-4 on standardized urology knowledge assessment items in the United States: a descriptive study. | 2,024 | Journal of educational evaluation for health professions | PURPOSE: This study aimed to evaluate the performance of Chat Generative Pre-Trained Transformer (ChatGPT) with respect to standardized urology multiple-choice items in the United States. METHODS: In total, 700 multiple-choice urology board exam-style items were submitted to GPT-3.5 and GPT-4, and responses were record... | Yudovich MS; Makarova E; Hague CM; Raman JD | 21 | |||
39349172 | Evaluacion de la fiabilidad y legibilidad de las respuestas de los chatbots como recurso de informacion al paciente para las exploraciones PET-TC mas communes. | 2,025 | Revista espanola de medicina nuclear e imagen molecular | PURPOSE: This study aimed to evaluate the reliability and readability of responses generated by two popular AI-chatbots, 'ChatGPT-4.0' and 'Google Gemini', to potential patient questions about PET/CT scans. MATERIALS AND METHODS: Thirty potential questions for each of [(18)F]FDG and [(68)Ga]Ga-DOTA-SSTR PET/CT, and twe... | Aydinbelge-Dizdar N; Dizdar K | 43 | |||
37166289 | ChatGPT and Lacrimal Drainage Disorders: Performance and Scope of Improvement. | 2,023 | Ophthalmic plastic and reconstructive surgery | PURPOSE: This study aimed to report the performance of the large language model ChatGPT (OpenAI, San Francisco, CA, U.S.A.) in the context of lacrimal drainage disorders. METHODS: A set of prompts was constructed through questions and statements spanning common and uncommon aspects of lacrimal drainage disorders. Care ... | Ali MJ | 32 | |||
38188345 | The opportunities and challenges of adopting ChatGPT in medical research. | 2,023 | Frontiers in medicine | PURPOSE: This study aims to investigate the opportunities and challenges of adopting ChatGPT in medical research. METHODS: A qualitative approach with focus groups is adopted in this study. A total of 62 participants including academic researchers from different streams in medicine and eHealth, participated in this stu... | Alsadhan A; Al-Anezi F; Almohanna A; Alnaim N; Alzahrani H; Shinawi R; AboAlsamh H; Bakhshwain A; Alenazy M; Arif W; Alyousef S; Alhamidi S; Alghamdi A; AlShrayfi N; Rubaian NB; Alanzi T; AlSahli A; Alturki R; Herzallah N | 0-1 | |||
37980605 | Chat GPT for the management of obstructive sleep apnea: do we have a polar star? | 2,024 | European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery | PURPOSE: This study explores the potential of the Chat-Generative Pre-Trained Transformer (Chat-GPT), a Large Language Model (LLM), in assisting healthcare professionals in the diagnosis of obstructive sleep apnea (OSA). It aims to assess the agreement between Chat-GPT's responses and those of expert otolaryngologists,... | Mira FA; Favier V; Dos Santos Sobreira Nunes H; de Castro JV; Carsuzaa F; Meccariello G; Vicini C; De Vito A; Lechien JR; Chiesa-Estomba C; Maniaci A; Iannella G; Rojas EP; Cornejo JB; Cammaroto G | 32 | |||
39613920 | Diagnostic performance of ChatGPT in tibial plateau fracture in knee X-ray. | 2,025 | Emergency radiology | PURPOSE: Tibial plateau fractures are relatively common and require accurate diagnosis. Chat Generative Pre-Trained Transformer (ChatGPT) has emerged as a tool to improve medical diagnosis. This study aims to investigate the accuracy of this tool in diagnosing tibial plateau fractures. METHODS: A secondary analysis was... | Mohammadi M; Parviz S; Parvaz P; Pirmoradi MM; Afzalimoghaddam M; Mirfazaelian H | 0-1 | |||
40321662 | Simulation-Based Evaluation of Large Language Models for Comorbidity Detection in Sleep Medicine - a Pilot Study on ChatGPT o1 Preview. | 2,025 | Nature and science of sleep | PURPOSE: Timely identification of comorbidities is critical in sleep medicine, where large language models (LLMs) like ChatGPT are currently emerging as transformative tools. Here, we investigate whether the novel LLM ChatGPT o1 preview can identify individual health risks or potentially existing comorbidities from the... | Seifen C; Bahr-Hamm K; Gouveris H; Pordzik J; Blaikie A; Matthias C; Kuhn S; Buhr CR | 0-1 | |||
39313138 | Artificial Intelligence Large Language Models Address Anterior Cruciate Ligament Reconstruction: Superior Clarity and Completeness by Gemini Compared With ChatGPT-4 in Response to American Academy of Orthopaedic Surgeons Clinical Practice Guidelines. | 2,024 | Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association | PURPOSE: To assess the ability of ChatGPT-4 and Gemini to generate accurate and relevant responses to the 2022 American Academy of Orthopaedic Surgeons (AAOS) Clinical Practice Guidelines (CPG) for anterior cruciate ligament reconstruction (ACLR). METHODS: Responses from ChatGPT-4 and Gemini to prompts derived from all... | Quinn M; Milner JD; Schmitt P; Morrissey P; Lemme N; Marcaccio S; DeFroda S; Tabaddor R; Owens BD | 32 | |||
38936557 | ChatGPT-4 Performs Clinical Information Retrieval Tasks Using Consistently More Trustworthy Resources Than Does Google Search for Queries Concerning the Latarjet Procedure. | 2,025 | Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association | PURPOSE: To assess the ability of ChatGPT-4, an automated Chatbot powered by artificial intelligence, to answer common patient questions concerning the Latarjet procedure for patients with anterior shoulder instability and compare this performance with Google Search Engine. METHODS: Using previously validated methods, ... | Oeding JF; Lu AZ; Mazzucco M; Fu MC; Taylor SA; Dines DM; Warren RF; Gulotta LV; Dines JS; Kunze KN | 32 | |||
39242057 | ChatGPT Can Offer At Least Satisfactory Responses to Common Patient Questions Regarding Hip Arthroscopy. | 2,024 | Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association | PURPOSE: To assess the accuracy of answers provided by ChatGPT 4.0 (an advanced language model developed by OpenAI) regarding 25 common patient questions about hip arthroscopy. METHODS: ChatGPT 4.0 was presented with 25 common patient questions regarding hip arthroscopy with no follow-up questions and repetition. Each ... | Ozbek EA; Ertan MB; Kindan P; Karaca MO; Gursoy S; Chahla J | 32 | |||
38117307 | Performance of artificial intelligence chatbots in sleep medicine certification board exams: ChatGPT versus Google Bard. | 2,024 | European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery | PURPOSE: To conduct a comparative performance evaluation of GPT-3.5, GPT-4 and Google Bard in self-assessment questions at the level of the American Sleep Medicine Certification Board Exam. METHODS: A total of 301 text-based single-best-answer multiple choice questions with four answer options each, across 10 categorie... | Cheong RCT; Pang KP; Unadkat S; Mcneillis V; Williamson A; Joseph J; Randhawa P; Andrews P; Paleri V | 32 | |||
40209833 | Large Language Model Use Cases in Health Care Research Are Redundant and Often Lack Appropriate Methodological Conduct: A Scoping Review and Call for Improved Practices. | 2,025 | Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association | PURPOSE: To describe the current use cases of large language models (LLMs) in musculoskeletal medicine and to evaluate the methodologic conduct of these investigations in order to safeguard future implementation of LLMs in clinical research and identify key areas for methodological improvement. METHODS: A comprehensive... | Kunze KN; Gerhold C; Dave U; Abunnur N; Mamonov A; Nwachukwu BU; Verma NN; Chahla J | 32 | |||
40015549 | An alternative approach to code, store, and regenerate 3D data in dental medicine using open-source software: A scripting-based technique. | 2,025 | Journal of dentistry | PURPOSE: To develop a scripting-based technique for managing three-dimensional (3D) dental data and evaluate the regenerated standard tessellation language (STL) data in terms of file size, accuracy (trueness and precision), and processing time. MATERIALS AND METHODS: Ten STL dental and maxillofacial models were obtain... | Elbashti ME; Paz-Cortes MM; Giovannini G; Acero-Sanz J; Abou-Ayash S; Cakmak G; Molinero-Mourelle P | 32 | |||
40357425 | Performance analysis of an emergency triage system in ophthalmology using a customized CHATBOT. | 2,025 | Digital health | PURPOSE: To evaluate the performance of a custom ChatGPT-based chatbot in triaging ophthalmic emergencies compared to trained ophthalmologists. METHODS: One hundred hypothetical ophthalmic cases were created based on actual patient data from an ophthalmic emergency department, including details such as age, symptoms an... | Schumacher I; Ferro Desideri L; Buhler VMM; Sagurski N; Subhi Y; Bhardwaj G; Roth J; Anguita R | 43 | |||
37536678 | ChatGPT for Sample-Size Calculation in Sports Medicine and Exercise Sciences: A Cautionary Note. | 2,023 | International journal of sports physiology and performance | PURPOSE: To investigate the accuracy of ChatGPT (Chat generative pretrained transformer), a large language model, in calculating sample size for sport-sciences and sports-medicine research studies. METHODS: We conducted an analysis on 4 published papers (ie, examples 1-4) encompassing various study designs and approach... | Methnani J; Latiri I; Dergaa I; Chamari K; Ben Saad H | 32 | |||
37553552 | Exploring the potential of ChatGPT as a supplementary tool for providing orthopaedic information. | 2,023 | Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA | PURPOSE: To investigate the potential use of large language models (LLMs) in orthopaedics by presenting queries pertinent to anterior cruciate ligament (ACL) surgery to generative pre-trained transformer (ChatGPT, specifically using its GPT-4 model of March 14th 2023). Additionally, this study aimed to evaluate the dep... | Kaarre J; Feldt R; Keeling LE; Dadoo S; Zsidai B; Hughes JD; Samuelsson K; Musahl V | 32 | |||
37917165 | Artificial intelligence chatbots as sources of patient education material for obstructive sleep apnoea: ChatGPT versus Google Bard. | 2,024 | European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery | PURPOSE: To perform the first head-to-head comparative evaluation of patient education material for obstructive sleep apnoea generated by two artificial intelligence chatbots, ChatGPT and its primary rival Google Bard. METHODS: Fifty frequently asked questions on obstructive sleep apnoea in English were extracted from ... | Cheong RCT; Unadkat S; Mcneillis V; Williamson A; Joseph J; Randhawa P; Andrews P; Paleri V | 0-1 | |||
38925234 | The Large Language Model ChatGPT-4 Exhibits Excellent Triage Capabilities and Diagnostic Performance for Patients Presenting With Various Causes of Knee Pain. | 2,025 | Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association | PURPOSE: To provide a proof-of-concept analysis of the appropriateness and performance of ChatGPT-4 to triage, synthesize differential diagnoses, and generate treatment plans concerning common presentations of knee pain. METHODS: Twenty knee complaints warranting triage and expanded scenarios were input into ChatGPT-4,... | Kunze KN; Varady NH; Mazzucco M; Lu AZ; Chahla J; Martin RK; Ranawat AS; Pearle AD; Williams RJ 3rd | 32 | |||
39521391 | Custom Large Language Models Improve Accuracy: Comparing Retrieval Augmented Generation and Artificial Intelligence Agents to Noncustom Models for Evidence-Based Medicine. | 2,025 | Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association | PURPOSE: To show the value of custom methods, namely Retrieval Augmented Generation (RAG)-based Large Language Models (LLMs) and Agentic Augmentation, over standard LLMs in delivering accurate information using an anterior cruciate ligament (ACL) injury case. METHODS: A set of 100 questions and answers based on the 202... | Woo JJ; Yang AJ; Olsen RJ; Hasan SS; Nawabi DH; Nwachukwu BU; Williams RJ 3rd; Ramkumar PN | 32 | |||
38686158 | Ethical and Professional Decision-Making Capabilities of Artificial Intelligence Chatbots: Evaluating ChatGPT's Professional Competencies in Medicine. | 2,024 | Medical science educator | PURPOSE: We examined the performance of artificial intelligence chatbots on the PREview Practice Exam, an online situational judgment test for professionalism and ethics. METHODS: We used validated methodologies to calculate scores and descriptive statistics, chi(2) tests, and Fisher's exact tests to compare scores by ... | Lin JC; Kurapati SS; Younessi DN; Scott IU; Gong DA | 21 | |||
38365990 | A cross-sectional comparative study: ChatGPT 3.5 versus diverse levels of medical experts in the diagnosis of ENT diseases. | 2,024 | European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery | PURPOSE: With recent advances in artificial intelligence (AI), it has become crucial to thoroughly evaluate its applicability in healthcare. This study aimed to assess the accuracy of ChatGPT in diagnosing ear, nose, and throat (ENT) pathology, and comparing its performance to that of medical experts. METHODS: We condu... | Makhoul M; Melkane AE; Khoury PE; Hadi CE; Matar N | 32 | |||
38760650 | Evaluation of the Impact of ChatGPT on the Selection of Surgical Technique in Bariatric Surgery. | 2,025 | Obesity surgery | PURPOSE: With the growing interest in artificial intelligence (AI) applications in medicine, this study explores ChatGPT's potential to influence surgical technique selection in metabolic and bariatric surgery (MBS), contrasting AI recommendations with established clinical guidelines and expert consensus. MATERIALS AND... | Lopez-Gonzalez R; Sanchez-Cordero S; Pujol-Gebelli J; Castellvi J | 32 | |||
38527823 | Quality, Accuracy, and Bias in ChatGPT-Based Summarization of Medical Abstracts. | 2,024 | Annals of family medicine | PURPOSE: Worldwide clinical knowledge is expanding rapidly, but physicians have sparse time to review scientific literature. Large language models (eg, Chat Generative Pretrained Transformer [ChatGPT]), might help summarize and prioritize research articles to review. However, large language models sometimes "hallucinat... | Hake J; Crowley M; Coy A; Shanks D; Eoff A; Kirmer-Voss K; Dhanda G; Parente DJ | 10 | |||
40064613 | Unveiling the power of R: a comprehensive perspective for laboratory medicine data analysis. | 2,025 | Clinical chemistry and laboratory medicine | R language has gained traction in laboratory medicine for its statistical power and dynamic tools like RMarkdown and RShiny. However, there is limited literature summarizing R packages and functions tailored for laboratory medicine, making it difficult for clinical laboratory workers to access these tools. Additionally... | Ma C; Qiu L | 10 | |||
37758604 | Radiology Reading Room for the Future: Harnessing the Power of Large Language Models Like ChatGPT. | 2,023 | Current problems in diagnostic radiology | Radiology has usually been the field of medicine that has been at the forefront of technological advances, often being the first to wholeheartedly embrace them. Whether it's from digitization to cloud side architecture, radiology has led the way for adopting the latest advances. With the advent of large language models... | Tippareddy C; Jiang S; Bera K; Ramaiya N | 10 | |||
38160089 | Could ChatGPT Pass the UK Radiology Fellowship Examinations? | 2,024 | Academic radiology | RATIONALE AND OBJECTIVES: Chat Generative Pre-trained Transformer (ChatGPT) is an artificial intelligence (AI) tool which utilises machine learning to generate original text resembling human language. AI models have recently demonstrated remarkable ability at analysing and solving problems, including passing profession... | Ariyaratne S; Jenko N; Mark Davies A; Iyengar KP; Botchu R | 21 | |||
37492829 | The Emerging Role of Generative Artificial Intelligence in Medical Education, Research, and Practice. | 2,023 | Cureus | Recent breakthroughs in generative artificial intelligence (GAI) and the emergence of transformer-based large language models such as Chat Generative Pre-trained Transformer (ChatGPT) have the potential to transform healthcare education, research, and clinical practice. This article examines the current trends in using... | Shoja MM; Van de Ridder JMM; Rajput V | 10 | |||
37407364 | Pearls and pitfalls of ChatGPT in medical oncology. | 2,023 | Trends in cancer | Recently, ChatGPT has drawn attention to the potential uses of artificial intelligence (AI) in academia. Here, we discuss how ChatGPT can be of value to medicine and medical oncology and the potential pitfalls that may be encountered. | Blum J; Menta AK; Zhao X; Yang VB; Gouda MA; Subbiah V | 10 | |||
40055532 | Red teaming ChatGPT in medicine to yield real-world insights on model behavior. | 2,025 | NPJ digital medicine | Red teaming, the practice of adversarially exposing unexpected or undesired model behaviors, is critical towards improving equity and accuracy of large language models, but non-model creator-affiliated red teaming is scant in healthcare. We convened teams of clinicians, medical and engineering students, and technical p... | Chang CT; Farah H; Gui H; Rezaei SJ; Bou-Khalil C; Park YJ; Swaminathan A; Omiye JA; Kolluri A; Chaurasia A; Lozano A; Heiman A; Jia AS; Kaushal A; Jia A; Iacovelli A; Yang A; Salles A; Singhal A; Narasimhan B; Belai B; Jacobson BH; Li B; Poe CH; Sanghera C; Zheng C; Messer C; Kettud DV; Pandya D; Kaur D; Hla D; Dindou... | 10 | |||
38570021 | A framework enabling LLMs into regulatory environment for transparency and trustworthiness and its application to drug labeling document. | 2,024 | Regulatory toxicology and pharmacology : RTP | Regulatory agencies consistently deal with extensive document reviews, ranging from product submissions to both internal and external communications. Large Language Models (LLMs) like ChatGPT can be invaluable tools for these tasks, however present several challenges, particularly the proprietary information, combining... | Wu L; Xu J; Thakkar S; Gray M; Qu Y; Li D; Tong W | 10 | |||
37434733 | ChatGPT's potential role in non-English-speaking outpatient clinic settings. | 2,023 | Digital health | Researchers recently utilized ChatGPT as a tool for composing clinic letters, highlighting its ability to generate accurate and empathetic communications. Here we demonstrated the potential application of ChatGPT as a medical assistant in Mandarin Chinese-speaking outpatient clinics, aiming to improve patient satisfact... | Zhu Z; Ying Y; Zhu J; Wu H | 0-1 | |||
37802491 | ChatGPT in medical research: challenging time ahead. | 2,023 | The Medico-legal journal | Since its launch, ChatGPT, an artificial intelligence-powered language model tool, has generated significant attention in research writing. The use of ChatGPT in medical research can be a double-edged sword. ChatGPT can expedite the research writing process by assisting with hypothesis formulation, literature review, d... | Bhargava DC; Jadav D; Meshram VP; Kanchan T | 10 | |||
37984563 | Accuracy of ChatGPT in Common Gastrointestinal Diseases: Impact for Patients and Providers. | 2,024 | Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association | Since its release in 2022, Chat Generative Pre-Trained Transformer (ChatGPT) became the most rapidly expanding consumer software application in history,(1) and its role in medicine is underscored by its potential to enhance patient education and physician-patient communication. Previous studies in gastroenterology and ... | Kerbage A; Kassab J; El Dahdah J; Burke CA; Achkar JP; Rouphael C | 0-1 | |||
38144348 | A systematic review and meta-analysis on ChatGPT and its utilization in medical and dental research. | 2,023 | Heliyon | Since its release, ChatGPT has taken the world by storm with its utilization in various fields of life. This review's main goal was to offer a thorough and fact-based evaluation of ChatGPT's potential as a tool for medical and dental research, which could direct subsequent research and influence clinical practices. MET... | Bagde H; Dhopte A; Alam MK; Basri R | 0-1 | |||
39039954 | ChatGPT and dermatology. | 2,024 | Italian journal of dermatology and venereology | Since the development of the artificial intelligence (AI), several applications have been proposed. Among these, the intersection of AI and medicine has sparked a wave of innovation, revolutionizing various aspects of healthcare delivery, diagnosis, and treatment. A review of the current literature was performed to eva... | D'Agostino M; Feo F; Martora F; Genco L; Megna M; Cacciapuoti S; Villani A; Potestio L | 0-1 | |||
40259576 | Can ChatGPT detect breast cancer on mammography? | 2,025 | Journal of medical screening | Some noteworthy studies have questioned the use of ChatGPT, a free artificial intelligence program that has become very popular and widespread in recent times, in different branches of medicine. In this study, the success of ChatGPT in detecting breast cancer on mammography (MMG) was evaluated. The pre-treatment mammog... | Tekcan Sanli DE; Sanli AN; Yildirim D; Dogan I | 0-1 | |||
40055086 | Large Language Models in peri-implant disease: How well do they perform? | 2,025 | The Journal of prosthetic dentistry | STATEMENT OF PROBLEM: Artificial intelligence (AI) has gained significant recent attention and several AI applications, such as the Large Language Models (LLMs) are promising for use in clinical medicine and dentistry. Nevertheless, assessing the performance of LLMs is essential to identify potential inaccuracies or ev... | Koidou VP; Chatzopoulos GS; Tsalikis L; Kaklamanos EG | 32 | |||
37811040 | ChatGPT and artificial hallucinations in stem cell research: assessing the accuracy of generated references - a preliminary study. | 2,023 | Annals of medicine and surgery (2012) | Stem cell research has the transformative potential to revolutionize medicine. Language models like ChatGPT, which use artificial intelligence (AI) and natural language processing, generate human-like text that can aid researchers. However, it is vital to ensure the accuracy and reliability of AI-generated references. ... | Sharun K; Banu SA; Pawde AM; Kumar R; Akash S; Dhama K; Pal A | 10 | |||
37025739 | Toxic Epidermal Necrolysis in a Critically Ill African American Woman: A Case Report Written With ChatGPT Assistance. | 2,023 | Cureus | Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are life-threatening spectrum diseases in which a medication triggers a mucocutaneous reaction associated with severe necrosis and loss of epidermal integrity. The disease has a high mortality rate that can be assessed by dermatology scoring scales bas... | Lantz R | 0-1 | |||
37248403 | Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing. | 2,023 | La Radiologia medica | Structured reporting may improve the radiological workflow and communication among physicians. Artificial intelligence applications in medicine are growing fast. Large language models (LLMs) are recently gaining importance as valuable tools in radiology and are currently being tested for the critical task of structured... | Mallio CA; Sertorio AC; Bernetti C; Beomonte Zobel B | 10 | |||
39928039 | Appropriateness and Consistency of an Online Artificial Intelligence System's Response to Common Questions Regarding Cervical Fusion. | 2,025 | Clinical spine surgery | STUDY DESIGN: Prospective survey study. OBJECTIVE: To address a gap that exists concerning ChatGPT's ability to respond to various types of questions regarding cervical surgery. SUMMARY OF BACKGROUND DATA: Artificial Intelligence (AI) and machine learning have been creating great change in the landscape of scientific r... | Miller M; DiCiurcio WT 3rd; Meade M; Buchan L; Gleimer J; Woods B; Kepler C | 32 | |||
38531823 | Chat Generative Pretraining Transformer Answers Patient-focused Questions in Cervical Spine Surgery. | 2,024 | Clinical spine surgery | STUDY DESIGN: Review of Chat Generative Pretraining Transformer (ChatGPT) outputs to select patient-focused questions. OBJECTIVE: We aimed to examine the quality of ChatGPT responses to cervical spine questions. BACKGROUND: Artificial intelligence and its utilization to improve patient experience across medicine is see... | Subramanian T; Araghi K; Amen TB; Kaidi A; Sosa B; Shahi P; Qureshi S; Iyer S | 32 | |||
38483426 | Harnessing the Power of Generative AI for Clinical Summaries: Perspectives From Emergency Physicians. | 2,024 | Annals of emergency medicine | STUDY OBJECTIVE: The workload of clinical documentation contributes to health care costs and professional burnout. The advent of generative artificial intelligence language models presents a promising solution. The perspective of clinicians may contribute to effective and responsible implementation of such tools. This ... | Barak-Corren Y; Wolf R; Rozenblum R; Creedon JK; Lipsett SC; Lyons TW; Michelson KA; Miller KA; Shapiro DJ; Reis BY; Fine AM | 10 | |||
40265240 | Artificial intelligence in sleep medicine: assessing the diagnostic precision of ChatGPT-4. | 2,025 | Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine | STUDY OBJECTIVES: Large language models (LLMs) like ChatGPT-4 are emerging in medicine, including sleep medicine, where artificial intelligence (AI) is used to analyze sleep data and predict treatment outcomes. Effectiveness of LLM in accurately diagnosing sleep disorders based on clinical history has not yet been stud... | Patel A; Cheung J | 0-1 | |||
38217478 | Evaluating insomnia queries from an artificial intelligence chatbot for patient education. | 2,024 | Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine | STUDY OBJECTIVES: We evaluated the accuracy of ChatGPT in addressing insomnia-related queries for patient education and assessed ChatGPT's ability to provide varied responses based on differing prompting scenarios. METHODS: Four identical sets of 20 insomnia-related queries were posed to ChatGPT. Each set differed by t... | Alapati R; Campbell D; Molin N; Creighton E; Wei Z; Boon M; Huntley C | 0-1 | |||
38723763 | Text summarization with ChatGPT for drug labeling documents. | 2,024 | Drug discovery today | Text summarization is crucial in scientific research, drug discovery and development, regulatory review, and more. This task demands domain expertise, language proficiency, semantic prowess, and conceptual skill. The recent advent of large language models (LLMs), such as ChatGPT, offers unprecedented opportunities to a... | Ying L; Liu Z; Fang H; Kusko R; Wu L; Harris S; Tong W | 10 | |||
39176909 | Comparing a Large Language Model with Previous Deep Learning Models on Named Entity Recognition of Adverse Drug Events. | 2,024 | Studies in health technology and informatics | The ability to fine-tune pre-trained deep learning models to learn how to process a downstream task using a large training set allow to significantly improve performances of named entity recognition. Large language models are recent models based on the Transformers architecture that may be conditioned on a new task wit... | Tiffet T; Pikaar A; Trombert-Paviot B; Jaulent MC; Bousquet C | 10 | |||
38540976 | Personalized Medicine Transformed: ChatGPT's Contribution to Continuous Renal Replacement Therapy Alarm Management in Intensive Care Units. | 2,024 | Journal of personalized medicine | The accurate interpretation of CRRT machine alarms is crucial in the intensive care setting. ChatGPT, with its advanced natural language processing capabilities, has emerged as a tool that is evolving and advancing in its ability to assist with healthcare information. This study is designed to evaluate the accuracy of ... | Sheikh MS; Thongprayoon C; Qureshi F; Suppadungsuk S; Kashani KB; Miao J; Craici IM; Cheungpasitporn W | 10 | |||
40241839 | Large language models in critical care. | 2,025 | Journal of intensive medicine | The advent of chat generative pre-trained transformer (ChatGPT) and large language models (LLMs) has revolutionized natural language processing (NLP). These models possess unprecedented capabilities in understanding and generating human-like language. This breakthrough holds significant promise for critical care medici... | Biesheuvel LA; Workum JD; Reuland M; van Genderen ME; Thoral P; Dongelmans D; Elbers P | 10 | |||
37130009 | Medical School Admissions: Focusing on Producing a Physician Workforce That Addresses the Needs of the United States. | 2,023 | Academic medicine : journal of the Association of American Medical Colleges | The aging population, burnout, and earlier retirement of physicians along with the static number of training positions are likely to worsen the current physician shortage. There is an urgent need to transform the process for selecting medical students. In this Invited Commentary, the authors suggest that to build the p... | Prober CG; Desai SV | 10 | |||
39050000 | How to mitigate the risks of deployment of artificial intelligence in medicine? | 2,024 | Turkish journal of medical sciences | The aim of this study is to examine the risks associated with the use of artificial intelligence (AI) in medicine and to offer policy suggestions to reduce these risks and optimize the benefits of AI technology. AI is a multifaceted technology. If harnessed effectively, it has the capacity to significantly impact the f... | Uygun Ilikhan S; Ozer M; Tanberkan H; Bozkurt V | 10 | |||
39401518 | [AI-supported decision-making in obstetrics - a feasibility study on the medical accuracy and reliability of ChatGPT]. | 2,025 | Zeitschrift fur Geburtshilfe und Neonatologie | The aim of this study is to investigate the feasibility of artificial intelligence in the interpretation and application of medical guidelines to support clinical decision-making in obstetrics. ChatGPT was provided with guidelines on specific obstetric issues. Using several clinical scenarios as examples, the AI was th... | Bader S; Schneider MO; Psilopatis I; Anetsberger D; Emons J; Kehl S | 0-1 | |||
38886470 | Multi role ChatGPT framework for transforming medical data analysis. | 2,024 | Scientific reports | The application of ChatGPTin the medical field has sparked debate regarding its accuracy. To address this issue, we present a Multi-Role ChatGPT Framework (MRCF), designed to improve ChatGPT's performance in medical data analysis by optimizing prompt words, integrating real-world data, and implementing quality control ... | Chen H; Zhang S; Zhang L; Geng J; Lu J; Hou C; He P; Lu X | 10 | |||
37956228 | ChatGPT in Drug Discovery: A Case Study on Anticocaine Addiction Drug Development with Chatbots. | 2,023 | Journal of chemical information and modeling | The birth of ChatGPT, a cutting-edge language model-based chatbot developed by OpenAI, ushered in a new era in AI. However, due to potential pitfalls, its role in rigorous scientific research is not clear yet. This paper vividly showcases its innovative application within the field of drug discovery. Focused specifical... | Wang R; Feng H; Wei GW | 0-1 | |||
37645039 | ChatGPT in Drug Discovery: A Case Study on Anti-Cocaine Addiction Drug Development with Chatbots. | 2,023 | ArXiv | The birth of ChatGPT, a cutting-edge language model-based chatbot developed by OpenAI, ushered in a new era in AI. However, due to potential pitfalls, its role in rigorous scientific research is not clear yet. This paper vividly showcases its innovative application within the field of drug discovery. Focused specifical... | Wang R; Feng H; Wei GW | 0-1 | |||
38472596 | Artificial intelligence in academic writing and clinical pharmacy education: consequences and opportunities. | 2,024 | International journal of clinical pharmacy | The current academic debate on the use of artificial intelligence (AI) in research and teaching has been ongoing since the launch of ChatGPT in November 2022. It mainly focuses on ethical considerations, academic integrity, authorship and the need for new legal frameworks. Time efficiencies may allow for more critical ... | Weidmann AE | 10 | |||
38811359 | Attention mechanism models for precision medicine. | 2,024 | Briefings in bioinformatics | The development of deep learning models plays a crucial role in advancing precision medicine. These models enable personalized medical treatments and interventions based on the unique genetic, environmental and lifestyle factors of individual patients, and the promotion of precision medicine is achieved mainly through ... | Cheng L | 0-1 | |||
37731643 | Applications of large language models in cancer care: current evidence and future perspectives. | 2,023 | Frontiers in oncology | The development of large language models (LLMs) is a recent success in the field of generative artificial intelligence (AI). They are computer models able to perform a wide range of natural language processing tasks, including content generation, question answering, or language translation. In recent months, a growing ... | Iannantuono GM; Bracken-Clarke D; Floudas CS; Roselli M; Gulley JL; Karzai F | 10 | |||
36834073 | Diagnostic Accuracy of Differential-Diagnosis Lists Generated by Generative Pretrained Transformer 3 Chatbot for Clinical Vignettes with Common Chief Complaints: A Pilot Study. | 2,023 | International journal of environmental research and public health | The diagnostic accuracy of differential diagnoses generated by artificial intelligence (AI) chatbots, including the generative pretrained transformer 3 (GPT-3) chatbot (ChatGPT-3) is unknown. This study evaluated the accuracy of differential-diagnosis lists generated by ChatGPT-3 for clinical vignettes with common chie... | Hirosawa T; Harada Y; Yokose M; Sakamoto T; Kawamura R; Shimizu T | 10 | |||
38413108 | Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical Professionals. | 2,024 | Korean journal of radiology | The emergence of Chat Generative Pre-trained Transformer (ChatGPT), a chatbot developed by OpenAI, has garnered interest in the application of generative artificial intelligence (AI) models in the medical field. This review summarizes different generative AI models and their potential applications in the field of medic... | Kim K; Cho K; Jang R; Kyung S; Lee S; Ham S; Choi E; Hong GS; Kim N | 10 | |||
37852647 | GPT-4 in Nuclear Medicine Education: Does It Outperform GPT-3.5? | 2,023 | Journal of nuclear medicine technology | The emergence of ChatGPT has challenged academic integrity in teaching institutions, including those providing nuclear medicine training. Although previous evaluations of ChatGPT have suggested a limited scope for academic writing, the March 2023 release of generative pretrained transformer (GPT)-4 promises enhanced ca... | Currie GM | 0-1 | |||
38295300 | Medical malpractice liability in large language model artificial intelligence: legal review and policy recommendations. | 2,024 | Journal of osteopathic medicine | The emergence of generative large language model (LLM) artificial intelligence (AI) represents one of the most profound developments in healthcare in decades, with the potential to create revolutionary and seismic changes in the practice of medicine as we know it. However, significant concerns have arisen over question... | Shumway DO; Hartman HJ | 10 |
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