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38618358 | Generative Artificial Intelligence Performs at a Second-Year Orthopedic Resident Level. | 2,024 | Cureus | Introduction Artificial intelligence (AI) models using large language models (LLMs) and non-specific domains have gained attention for their innovative information processing. As AI advances, it's essential to regularly evaluate these tools' competency to maintain high standards, prevent errors or biases, and avoid fla... | Lum ZC; Collins DP; Dennison S; Guntupalli L; Choudhary S; Saiz AM; Randall RL | 32 | |||
37484787 | ChatGPT's Ability to Assess Quality and Readability of Online Medical Information: Evidence From a Cross-Sectional Study. | 2,023 | Cureus | Introduction Artificial Intelligence (AI) platforms have gained widespread attention for their distinct ability to generate automated responses to various prompts. However, its role in assessing the quality and readability of a provided text remains unclear. Thus, the purpose of this study is to evaluate the proficienc... | Golan R; Ripps SJ; Reddy R; Loloi J; Bernstein AP; Connelly ZM; Golan NS; Ramasamy R | 0-1 | |||
38803743 | Accuracy of ChatGPT in Neurolocalization. | 2,024 | Cureus | Introduction ChatGPT (OpenAI Incorporated, Mission District, San Francisco, United States) is an artificial intelligence (AI) chatbot with advanced communication skills and a massive knowledge database. However, its application in medicine, specifically in neurolocalization, necessitates clinical reasoning in addition ... | Dabbas WF; Odeibat YM; Alhazaimeh M; Hiasat MY; Alomari AA; Marji A; Samara QA; Ibrahim B; Al Arabiyat RM; Momani G | 0-1 | |||
38021639 | Is ChatGPT's Knowledge and Interpretative Ability Comparable to First Professional MBBS (Bachelor of Medicine, Bachelor of Surgery) Students of India in Taking a Medical Biochemistry Examination? | 2,023 | Cureus | Introduction ChatGPT is a large language model (LLM)-based chatbot that uses natural language processing to create humanlike conversational dialogue. It has created a significant impact on the entire global landscape, especially in sectors like finance and banking, e-commerce, education, legal, human resources (HR), an... | Ghosh A; Maini Jindal N; Gupta VK; Bansal E; Kaur Bajwa N; Sett A | 21 | |||
39156271 | Learning the Randleman Criteria in Refractive Surgery: Utilizing ChatGPT-3.5 Versus Internet Search Engine. | 2,024 | Cureus | Introduction Large language models such as OpenAI's (San Francisco, CA) ChatGPT-3.5 hold immense potential to augment self-directed learning in medicine, but concerns have risen regarding its accuracy in specialized fields. This study compares ChatGPT-3.5 with an internet search engine in their ability to define the Ra... | Tuttle JJ; Moshirfar M; Garcia J; Altaf AW; Omidvarnia S; Hoopes PC | 21 | |||
39822447 | A Study of Orthopedic Patient Leaflets and Readability of AI-Generated Text in Foot and Ankle Surgery (SOLE-AI). | 2,024 | Cureus | Introduction The internet age has broadened the horizons of modern medicine, and the ever-increasing scope of artificial intelligence (AI) has made information about healthcare, common pathologies, and available treatment options much more accessible to the wider population. Patient autonomy relies on clear, accurate, ... | Jaques A; Abdelghafour K; Perkins O; Nuttall H; Haidar O; Johal K | 32 | |||
40271334 | Dr. Chatbot: Investigating the Quality and Quantity of Responses Generated by Three AI Chatbots to Prompts Regarding Carpal Tunnel Syndrome. | 2,025 | Cureus | Introduction The objective of this study is to investigate the amount and accuracy of statements provided in answers by AI chatbots to prompts about carpal tunnel syndrome. To the authors' knowledge, this is the first study to assess the answers provided by OpenAI ChatGPT-4o model, AMBOSS GPT, and Google Gemini to comm... | Buchman ZJ; Savarino VR; Vinarski BM; Jay LF; Phrathep D; Boesler D | 32 | |||
37457604 | Advancing Artificial Intelligence for Clinical Knowledge Retrieval: A Case Study Using ChatGPT-4 and Link Retrieval Plug-In to Analyze Diabetic Ketoacidosis Guidelines. | 2,023 | Cureus | Introduction This case study aimed to enhance the traceability and retrieval accuracy of ChatGPT-4 in medical text by employing a step-by-step systematic approach. The focus was on retrieving clinical answers from three international guidelines on diabetic ketoacidosis (DKA). Methods A systematic methodology was develo... | Hamed E; Sharif A; Eid A; Alfehaidi A; Alberry M | 0-1 | |||
38435177 | Generative Artificial Intelligence in Patient Education: ChatGPT Takes on Hypertension Questions. | 2,024 | Cureus | Introduction Uncontrolled hypertension significantly contributes to the development and deterioration of various medical conditions, such as myocardial infarction, chronic kidney disease, and cerebrovascular events. Despite being the most common preventable risk factor for all-cause mortality, only a fraction of affect... | Almagazzachi A; Mustafa A; Eighaei Sedeh A; Vazquez Gonzalez AE; Polianovskaia A; Abood M; Abdelrahman A; Muyolema Arce V; Acob T; Saleem B | 43 | |||
39050297 | ChatGPT Versus National Eligibility cum Entrance Test for Postgraduate (NEET PG). | 2,024 | Cureus | Introduction With both suspicion and excitement, artificial intelligence tools are being integrated into nearly every aspect of human existence, including medical sciences and medical education. The newest large language model (LLM) in the class of autoregressive language models is ChatGPT. While ChatGPT's potential to... | Paul S; Govindaraj S; Jk J | 21 | |||
39592896 | Transforming Alzheimer's Digital Caregiving through Large Language Models. | 2,024 | Current Alzheimer research | INTRODUCTION/OBJECTIVE: Alzheimer's Disease and Related Dementias (AD/ADRD) present significant caregiving challenges, with increasing burdens on informal caregivers. This study examines the potential of AI-driven Large Language Models (LLMs) in developing digital caregiving strategies for AD/ADRD. The objectives inclu... | Kim S; Han DY; Bae J | 10 | |||
37271011 | ChatGPT in medical imaging higher education. | 2,023 | Radiography (London, England : 1995) | INTRODUCTION: Academic integrity among radiographers and nuclear medicine technologists/scientists in both higher education and scientific writing has been challenged by advances in artificial intelligence (AI). The recent release of ChatGPT, a chatbot powered by GPT-3.5 capable of producing accurate and human-like res... | Currie G; Singh C; Nelson T; Nabasenja C; Al-Hayek Y; Spuur K | 0-1 | |||
39938135 | Performance evaluation of ChatGPT-4.0 and Gemini on image-based neurosurgery board practice questions: A comparative analysis. | 2,025 | Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia | INTRODUCTION: Artificial intelligence (AI) has gained significant attention in medicine, particularly in neurosurgery, where its potential is often discussed and occasionally feared. Large language models (LLMs), such as ChatGPT-4.0 (OpenAI) and Gemini (formerly known as Bard, Google DeepMind), have shown promise in te... | McNulty AM; Valluri H; Gajjar AA; Custozzo A; Field NC; Paul AR | 0-1 | |||
38173951 | Comparing Artificial Intelligence and Senior Residents in Oral Lesion Diagnosis: A Comparative Study. | 2,024 | Cureus | INTRODUCTION: Artificial intelligence (AI) is a field of computer science that seeks to build intelligent machines that can carry out tasks that usually necessitate human intelligence. AI may help dentists with a variety of dental tasks, including clinical diagnosis and treatment planning. This study aims to compare th... | Albagieh H; Alzeer ZO; Alasmari ON; Alkadhi AA; Naitah AN; Almasaad KF; Alshahrani TS; Alshahrani KS; Almahmoud MI | 32 | |||
40425883 | Evaluating Surgical Results in Breast Cancer with Artificial Intelligence. | 2,025 | Aesthetic plastic surgery | INTRODUCTION: Artificial intelligence (AI) is rapidly transforming healthcare, with increasing applications in surgical evaluation. In breast cancer surgery, achieving aesthetic symmetry is essential for patient satisfaction and emotional well-being. While human evaluation remains fundamental, AI-driven symmetry assess... | Kenig N; Monton Echeverria J; Muntaner Vives A | 32 | |||
38451040 | Conformity of ChatGPT recommendations with the AUA/SUFU guideline on postprostatectomy urinary incontinence. | 2,024 | Neurourology and urodynamics | INTRODUCTION: Artificial intelligence (AI) shows immense potential in medicine and Chat generative pretrained transformer (ChatGPT) has been used for different purposes in the field. However, it may not match the complexity and nuance of certain medical scenarios. This study evaluates the accuracy of ChatGPT 3.5 and 4 ... | Pinto VBP; de Azevedo MF; Wroclawski ML; Gentile G; Jesus VLM; de Bessa Junior J; Nahas WC; Sacomani CAR; Sandhu JS; Gomes CM | 0-1 | |||
39956557 | Human versus artificial intelligence: evaluating ChatGPT's performance in conducting published systematic reviews with meta-analysis in chronic pain research. | 2,025 | Regional anesthesia and pain medicine | INTRODUCTION: Artificial intelligence (AI), particularly large-language models like Chat Generative Pre-Trained Transformer (ChatGPT), has demonstrated potential in streamlining research methodologies. Systematic reviews and meta-analyses, often considered the pinnacle of evidence-based medicine, are inherently time-in... | Purewal A; Fautsch K; Klasova J; Hussain N; D'Souza RS | 0-1 | |||
39963119 | Comparative analysis of ChatGPT and Gemini (Bard) in medical inquiry: a scoping review. | 2,025 | Frontiers in digital health | INTRODUCTION: Artificial intelligence and machine learning are popular interconnected technologies. AI chatbots like ChatGPT and Gemini show considerable promise in medical inquiries. This scoping review aims to assess the accuracy and response length (in characters) of ChatGPT and Gemini in medical applications. METHO... | Fattah FH; Salih AM; Salih AM; Asaad SK; Ghafour AK; Bapir R; Abdalla BA; Othman S; Ahmed SM; Hasan SJ; Mahmood YM; Kakamad FH | 43 | |||
38188865 | Evaluation of information provided to patients by ChatGPT about chronic diseases in Spanish language. | 2,024 | Digital health | INTRODUCTION: Artificial intelligence has presented exponential growth in medicine. The ChatGPT language model has been highlighted as a possible source of patient information. This study evaluates the reliability and readability of ChatGPT-generated patient information on chronic diseases in Spanish. METHODS: Question... | Soto-Chavez MJ; Bustos MM; Fernandez-Avila DG; Munoz OM | 0-1 | |||
37596194 | Evaluating the performance of ChatGPT in answering questions related to pediatric urology. | 2,024 | Journal of pediatric urology | INTRODUCTION: Artificial intelligence is advancing in various domains, including medicine, and its progress is expected to continue in the future. OBJECTIVE: This research aimed to assess the precision and consistency of ChatGPT's responses to commonly asked inquiries related to pediatric urology. MATERIALS AND METHODS... | Caglar U; Yildiz O; Meric A; Ayranci A; Gelmis M; Sarilar O; Ozgor F | 0-1 | |||
38749814 | Surgeons vs ChatGPT: Assessment and Feedback Performance Based on Real Surgical Scenarios. | 2,024 | Journal of surgical education | INTRODUCTION: Artificial intelligence tools are being progressively integrated into medicine and surgical education. Large language models, such as ChatGPT, could provide relevant feedback aimed at improving surgical skills. The purpose of this study is to assess ChatGPT s ability to provide feedback based on surgical ... | Jarry Trujillo C; Vela Ulloa J; Escalona Vivas G; Grasset Escobar E; Villagran Gutierrez I; Achurra Tirado P; Varas Cohen J | 32 | |||
39985409 | ChatGPT Achieves Only Fair Agreement with ACFAS Expert Panelist Clinical Consensus Statements. | 2,025 | Foot & ankle specialist | INTRODUCTION: As artificial intelligence (AI) becomes increasingly integrated into medicine and surgery, its applications are expanding rapidly-from aiding clinical documentation to providing patient information. However, its role in medical decision-making remains uncertain. This study evaluates an AI language model's... | Casciato DJ; Calhoun J | 32 | |||
38667587 | AI and Ethics: A Systematic Review of the Ethical Considerations of Large Language Model Use in Surgery Research. | 2,024 | Healthcare (Basel, Switzerland) | INTRODUCTION: As large language models receive greater attention in medical research, the investigation of ethical considerations is warranted. This review aims to explore surgery literature to identify ethical concerns surrounding these artificial intelligence models and evaluate how autonomy, beneficence, nonmalefice... | Pressman SM; Borna S; Gomez-Cabello CA; Haider SA; Haider C; Forte AJ | 10 | |||
39667153 | In the face of confounders: Atrial fibrillation detection - Practitioners vs. ChatGPT. | 2,025 | Journal of electrocardiology | INTRODUCTION: Atrial fibrillation (AF) is the most common arrhythmia in clinical practice, yet interpretation concerns among healthcare providers persist. Confounding factors contribute to false-positive and false-negative AF diagnoses, leading to potential omissions. Artificial intelligence advancements show promise i... | Avidan Y; Tabachnikov V; Court OB; Khoury R; Aker A | 10 | |||
38329526 | Is generative pre-trained transformer artificial intelligence (Chat-GPT) a reliable tool for guidelines synthesis? A preliminary evaluation for biologic CRSwNP therapy. | 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 | INTRODUCTION: Biologic therapies for Chronic Rhinosinusitis with Nasal Polyps (CRSwNP) have emerged as an auspicious treatment alternative. However, the ideal patient population, dosage, and treatment duration are yet to be well-defined. Moreover, biologic therapy has disadvantages, such as high costs and limited acces... | Maniaci A; Saibene AM; Calvo-Henriquez C; Vaira L; Radulesco T; Michel J; Chiesa-Estomba C; Sowerby L; Lobo Duro D; Mayo-Yanez M; Maza-Solano J; Lechien JR; La Mantia I; Cocuzza S | 0-1 | |||
39119408 | Is ChatGPT a Reliable Source of Patient Information on Asthma? | 2,024 | Cureus | INTRODUCTION: ChatGPT (OpenAI, San Francisco, CA, USA) is a novel artificial intelligence (AI) application that is used by millions of people, and the numbers are growing by the day. Because it has the potential to be a source of patient information, the study aimed to evaluate the ability of ChatGPT to answer frequent... | Alabdulmohsen DM; Almahmudi MA; Alhashim JN; Almahdi MH; Alkishy EF; Almossabeh MJ; Alkhalifah SA | 43 | |||
39329220 | ChatGPT Solving Complex Kidney Transplant Cases: A Comparative Study With Human Respondents. | 2,024 | Clinical transplantation | INTRODUCTION: ChatGPT has shown the ability to answer clinical questions in general medicine but may be constrained by the specialized nature of kidney transplantation. Thus, it is important to explore how ChatGPT can be used in kidney transplantation and how its knowledge compares to human respondents. METHODS: We pro... | Mankowski MA; Jaffe IS; Xu J; Bae S; Oermann EK; Aphinyanaphongs Y; McAdams-DeMarco MA; Lonze BE; Orandi BJ; Stewart D; Levan M; Massie A; Gentry S; Segev DL | 21 | |||
37426402 | Transforming Medical Education: Assessing the Integration of ChatGPT Into Faculty Workflows at a Caribbean Medical School. | 2,023 | Cureus | INTRODUCTION: ChatGPT is a Large Language Model (LLM) which allows for natural language processing and interactions with users in a conversational style. Since its release in 2022, it has had a significant impact in many occupational fields, including medical education. We sought to gain insight into the extent and typ... | Cross J; Robinson R; Devaraju S; Vaughans A; Hood R; Kayalackakom T; Honnavar P; Naik S; Sebastian R | 0-1 | |||
38341993 | Human intelligence versus Chat-GPT: who performs better in correctly classifying patients in triage? | 2,024 | The American journal of emergency medicine | INTRODUCTION: Chat-GPT is rapidly emerging as a promising and potentially revolutionary tool in medicine. One of its possible applications is the stratification of patients according to the severity of clinical conditions and prognosis during the triage evaluation in the emergency department (ED). METHODS: Using a rand... | Zaboli A; Brigo F; Sibilio S; Mian M; Turcato G | 10 | |||
37589944 | Complications Following Facelift and Neck Lift: Implementation and Assessment of Large Language Model and Artificial Intelligence (ChatGPT) Performance Across 16 Simulated Patient Presentations. | 2,023 | Aesthetic plastic surgery | INTRODUCTION: ChatGPT represents a potential resource for patient guidance and education, with the possibility for quality improvement in healthcare delivery. The present study evaluates the role of ChatGPT as an interactive patient resource, and assesses its performance in identifying, triaging, and guiding patients w... | Abi-Rafeh J; Hanna S; Bassiri-Tehrani B; Kazan R; Nahai F | 32 | |||
38764369 | Evaluating ChatGPT's effectiveness and tendencies in Japanese internal medicine. | 2,024 | Journal of evaluation in clinical practice | INTRODUCTION: ChatGPT, a large-scale language model, is a notable example of AI's potential in health care. However, its effectiveness in clinical settings, especially when compared to human physicians, is not fully understood. This study evaluates ChatGPT's capabilities and limitations in answering questions for Japan... | Kaneda Y; Tayuinosho A; Tomoyose R; Takita M; Hamaki T; Tanimoto T; Ozaki A | 21 | |||
40147063 | Artificial intelligence versus orthopedic surgeons as an orthopedic consultant in the emergency department. | 2,025 | Injury | INTRODUCTION: ChatGPT, a widely accessible AI program, has demonstrated potential in various healthcare applications, including emergency department (ED) triage, differential diagnosis, and patient education. However, its potential in providing recommendations to emergency department providers with orthopedic consultat... | Liu J; Segal K; Daher M; Ozolin J; Binder WD; Bergen M; McDonald CL; Owens BD; Antoci V | 32 | |||
38507847 | Comparison of emergency medicine specialist, cardiologist, and chat-GPT in electrocardiography assessment. | 2,024 | The American journal of emergency medicine | INTRODUCTION: ChatGPT, developed by OpenAI, represents the cutting-edge in its field with its latest model, GPT-4. Extensive research is currently being conducted in various domains, including cardiovascular diseases, using ChatGPT. Nevertheless, there is a lack of studies addressing the proficiency of GPT-4 in diagnos... | Gunay S; Ozturk A; Ozerol H; Yigit Y; Erenler AK | 10 | |||
39096711 | The accuracy of Gemini, GPT-4, and GPT-4o in ECG analysis: A comparison with cardiologists and emergency medicine specialists. | 2,024 | The American journal of emergency medicine | INTRODUCTION: GPT-4, GPT-4o and Gemini advanced, which are among the well-known large language models (LLMs), have the capability to recognize and interpret visual data. When the literature is examined, there are a very limited number of studies examining the ECG performance of GPT-4. However, there is no study in the ... | Gunay S; Ozturk A; Yigit Y | 10 | |||
39882522 | Evolution of artificial intelligence in healthcare: a 30-year bibliometric study. | 2,024 | Frontiers in medicine | INTRODUCTION: In recent years, the development of artificial intelligence (AI) technologies, including machine learning, deep learning, and large language models, has significantly supported clinical work. Concurrently, the integration of artificial intelligence with the medical field has garnered increasing attention ... | Xie Y; Zhai Y; Lu G | 10 | |||
39534227 | Large language models in patient education: a scoping review of applications in medicine. | 2,024 | Frontiers in medicine | INTRODUCTION: Large Language Models (LLMs) are sophisticated algorithms that analyze and generate vast amounts of textual data, mimicking human communication. Notable LLMs include GPT-4o by Open AI, Claude 3.5 Sonnet by Anthropic, and Gemini by Google. This scoping review aims to synthesize the current applications and... | Aydin S; Karabacak M; Vlachos V; Margetis K | 10 | |||
39675178 | Use of a large language model (LLM) for ambulance dispatch and triage. | 2,025 | The American journal of emergency medicine | INTRODUCTION: Large language models (LLMs) have grown in popularity in recent months and have demonstrated advanced clinical reasoning ability. Given the need to prioritize the sickest patients requesting emergency medical services (EMS), we attempted to identify if an LLM could accurately triage ambulance requests usi... | Shekhar AC; Kimbrell J; Saharan A; Stebel J; Ashley E; Abbott EE | 10 | |||
38606229 | Comparing the Performance of Popular Large Language Models on the National Board of Medical Examiners Sample Questions. | 2,024 | Cureus | INTRODUCTION: Large language models (LLMs) have transformed various domains in medicine, aiding in complex tasks and clinical decision-making, with OpenAI's GPT-4, GPT-3.5, Google's Bard, and Anthropic's Claude among the most widely used. While GPT-4 has demonstrated superior performance in some studies, comprehensive ... | Abbas A; Rehman MS; Rehman SS | 21 | |||
39234726 | Zero-Shot LLMs for Named Entity Recognition: Targeting Cardiac Function Indicators in German Clinical Texts. | 2,024 | Studies in health technology and informatics | INTRODUCTION: Large Language Models (LLMs) like ChatGPT have become increasingly prevalent. In medicine, many potential areas arise where LLMs may offer added value. Our research focuses on the use of open-source LLM alternatives like Llama 3, Gemma, Mistral, and Mixtral to extract medical parameters from German clinic... | Plagwitz L; Neuhaus P; Yildirim K; Losch N; Varghese J; Buscher A | 10 | |||
37276372 | New Artificial Intelligence ChatGPT Performs Poorly on the 2022 Self-assessment Study Program for Urology. | 2,023 | Urology practice | INTRODUCTION: Large language models have demonstrated impressive capabilities, but application to medicine remains unclear. We seek to evaluate the use of ChatGPT on the American Urological Association Self-assessment Study Program as an educational adjunct for urology trainees and practicing physicians. METHODS: One h... | Huynh LM; Bonebrake BT; Schultis K; Quach A; Deibert CM | 21 | |||
39936270 | ChatGPT versus physician-derived answers to drug-related questions. | 2,024 | Danish medical journal | INTRODUCTION: Large language models have recently gained interest within the medical community. Their clinical impact is currently being investigated, with potential application in pharmaceutical counselling, which has yet to be assessed. METHODS: We performed a retrospective investigation of ChatGPT 3.5 and 4.0 in res... | Helgestad OK; Hjelholt AJ; Vestergaard SV; Azuz S; Saedder EA; Overvad TF | 10 | |||
38081765 | ChatGPT in Iranian medical licensing examination: evaluating the diagnostic accuracy and decision-making capabilities of an AI-based model. | 2,023 | BMJ health & care informatics | INTRODUCTION: Large language models such as ChatGPT have gained popularity for their ability to generate comprehensive responses to human queries. In the field of medicine, ChatGPT has shown promise in applications ranging from diagnostics to decision-making. However, its performance in medical examinations and its com... | Ebrahimian M; Behnam B; Ghayebi N; Sobhrakhshankhah E | 21 | |||
40365297 | Optimizing theranostics chatbots with context-augmented large language models. | 2,025 | Theranostics | Introduction: Nuclear medicine theranostics is rapidly emerging, as an interdisciplinary therapy option with multi-dimensional considerations. Healthcare Professionals do not have the time to do in depth research on every therapy option. Personalized Chatbots might help to educate them. Chatbots using Large Language Mo... | Koller P; Clement C; van Eijk A; Seifert R; Zhang J; Prenosil G; Sathekge MM; Herrmann K; Baum R; Weber WA; Rominger A; Shi K | 0-1 | |||
39430700 | Evaluating the comprehension and accuracy of ChatGPT's responses to diabetes-related questions in Urdu compared to English. | 2,024 | Digital health | INTRODUCTION: Patients with diabetes require healthcare and information that are accurate and extensive. Large language models (LLMs) like ChatGPT herald the capacity to provide such exhaustive data. To determine (a) the comprehensiveness of ChatGPT's responses in Urdu to diabetes-related questions and (b) the accuracy... | Faisal S; Kamran TE; Khalid R; Haider Z; Siddiqui Y; Saeed N; Imran S; Faisal R; Jabeen M | 0-1 | |||
37795422 | Evaluating the performance of ChatGPT-4 on the United Kingdom Medical Licensing Assessment. | 2,023 | Frontiers in medicine | INTRODUCTION: Recent developments in artificial intelligence large language models (LLMs), such as ChatGPT, have allowed for the understanding and generation of human-like text. Studies have found LLMs abilities to perform well in various examinations including law, business and medicine. This study aims to evaluate th... | Lai UH; Wu KS; Hsu TY; Kan JKC | 21 | |||
39290564 | Zero-shot evaluation of ChatGPT for food named-entity recognition and linking. | 2,024 | Frontiers in nutrition | INTRODUCTION: Recognizing and extracting key information from textual data plays an important role in intelligent systems by maintaining up-to-date knowledge, reinforcing informed decision-making, question-answering, and more. It is especially apparent in the food domain, where critical information guides the decisions... | Ogrinc M; Korousic Seljak B; Eftimov T | 10 | |||
38331591 | [The spring of artificial intelligence: AI vs. expert for internal medicine cases]. | 2,024 | La Revue de medecine interne | INTRODUCTION: The "Printemps de la Medecine Interne" are training days for Francophone internists. The clinical cases presented during these days are complex. This study aims to evaluate the diagnostic capabilities of non-specialized artificial intelligence (language models) ChatGPT-4 and Bard by confronting them with ... | Albaladejo A; Lorleac'h A; Allain JS | 10 | |||
38985176 | [What is the potential of ChatGPT for qualified patient information? : Attempt of a structured analysis on the basis of a survey regarding complementary and alternative medicine (CAM) in rheumatology]. | 2,025 | Zeitschrift fur Rheumatologie | INTRODUCTION: The chatbot ChatGPT represents a milestone in the interaction between humans and large databases that are accessible via the internet. It facilitates the answering of complex questions by enabling a communication in everyday language. Therefore, it is a potential source of information for those who are af... | Keysser G; Pfeil A; Reuss-Borst M; Frohne I; Schultz O; Sander O | 43 | |||
38251407 | Benzodiazepine Boom: Tracking Etizolam, Pyrazolam, and Flubromazepam from Pre-UK Psychoactive Act 2016 to Present Using Analytical and Social Listening Techniques. | 2,024 | Pharmacy (Basel, Switzerland) | INTRODUCTION: The designer benzodiazepine (DBZD) market continues to expand whilst evading regulatory controls. The widespread adoption of social media by pro-drug use communities encourages positive discussions around DBZD use/misuse, driving demand. This research addresses the evolution of three popular DBZDs, etizol... | Mullin A; Scott M; Vaccaro G; Floresta G; Arillotta D; Catalani V; Corkery JM; Stair JL; Schifano F; Guirguis A | 10 | |||
38575866 | Bibliometric analysis of ChatGPT in medicine. | 2,024 | International journal of emergency medicine | INTRODUCTION: The emergence of artificial intelligence (AI) chat programs has opened two distinct paths, one enhancing interaction and another potentially replacing personal understanding. Ethical and legal concerns arise due to the rapid development of these programs. This paper investigates academic discussions on AI... | Gande S; Gould M; Ganti L | 10 | |||
38354991 | Accuracy of Online Artificial Intelligence Models in Primary Care Settings. | 2,024 | American journal of preventive medicine | INTRODUCTION: The importance of preventive medicine and primary care in the sphere of public health is expanding, yet a gap exists in the utilization of recommended medical services. As patients increasingly turn to online resources for supplementary advice, the role of artificial intelligence (AI) in providing accurat... | Kassab J; Hadi El Hajjar A; Wardrop RM 3rd; Brateanu A | 43 | |||
39552949 | Performance of ChatGPT in emergency medicine residency exams in Qatar: A comparative analysis with resident physicians. | 2,024 | Qatar medical journal | INTRODUCTION: The inclusion of artificial intelligence (AI) in the healthcare sector has transformed medical practices by introducing innovative techniques for medical education, diagnosis, and treatment strategies. In medical education, the potential of AI to enhance learning and assessment methods is being increasing... | Iftikhar H; Anjum S; Bhutta ZA; Najam M; Bashir K | 21 | |||
37868075 | Teaching AI Ethics in Medical Education: A Scoping Review of Current Literature and Practices. | 2,023 | Perspectives on medical education | INTRODUCTION: The increasing use of Artificial Intelligence (AI) in medicine has raised ethical concerns, such as patient autonomy, bias, and transparency. Recent studies suggest a need for teaching AI ethics as part of medical curricula. This scoping review aimed to represent and synthesize the literature on teaching ... | Weidener L; Fischer M | 10 | |||
39454451 | The utility of ChatGPT in gender-affirming mastectomy education. | 2,024 | Journal of plastic, reconstructive & aesthetic surgery : JPRAS | INTRODUCTION: The integration of AI such as ChatGPT in medicine has been showing promise in enhancing patient education. Gender-affirming mastectomy (GAM) is a surgical procedure designed to help individuals transition to their self-identified gender, playing a crucial role in mitigating psychological distress for many... | Snee I; Lava CX; Li KR; Corral GD | 32 | |||
39224724 | Assessing the Quality and Reliability of AI-Generated Responses to Common Hypertension Queries. | 2,024 | Cureus | INTRODUCTION: The integration of artificial intelligence (AI) in healthcare, particularly through language models like ChatGPT and ChatSonic, has gained substantial attention. This article explores the utilization of these AI models to address patient queries related to hypertension, emphasizing their potential to enha... | Vinufrancis A; Al Hussein H; Patel HV; Nizami A; Singh A; Nunez B; Abdel-Aal AM | 43 | |||
40066104 | Introducing AI-generated cases (AI-cases) & standardized clients (AI-SCs) in communication training for veterinary students: perceptions and adoption challenges. | 2,024 | Frontiers in veterinary science | INTRODUCTION: The integration of Artificial Intelligence (AI) into medical education and healthcare has grown steadily over these past couple of years, though its application in veterinary education and practice remains relatively underexplored. This study is among the first to introduce veterinary students to AI-gener... | Artemiou E; Hooper S; Dascanio L; Schmidt M; Gilbert G | 10 | |||
40061376 | A bibliometric analysis of the advance of artificial intelligence in medicine. | 2,025 | Frontiers in medicine | INTRODUCTION: The integration of artificial intelligence (AI) into medicine has ushered an era of unprecedented innovation, with substantial impacts on healthcare delivery and patient outcomes. Understanding the current development, primary research focuses, and key contributors in AI applications in medicine through b... | Lin M; Lin L; Lin L; Lin Z; Yan X | 10 | |||
40034889 | Evaluating the Quality and Readability of Generative Artificial Intelligence (AI) Chatbot Responses in the Management of Achilles Tendon Rupture. | 2,025 | Cureus | INTRODUCTION: The rise of artificial intelligence (AI), including generative chatbots like ChatGPT (OpenAI, San Francisco, CA, USA), has revolutionized many fields, including healthcare. Patients have gained the ability to prompt chatbots to generate purportedly accurate and individualized healthcare content. This stud... | Collins CE; Giammanco PA; Guirgus M; Kricfalusi M; Rice RC; Nayak R; Ruckle D; Filler R; Elsissy JG | 32 | |||
40233367 | Comparison of ChatGPT's Diagnostic and Management Accuracy of Foot and Ankle Bone-Related Pathologies to Orthopaedic Surgeons. | 2,025 | The Journal of the American Academy of Orthopaedic Surgeons | INTRODUCTION: The steep rise in utilization of large language model chatbots, such as ChatGPT, has spilled into medicine in recent years. The newest version of ChatGPT, ChatGPT-4, has passed medical licensure examinations and, specifically in orthopaedics, has performed at the level of a postgraduate level three orthop... | Essis MD; Hartman H; Tung WS; Oh I; Peden S; Gianakos AL | 32 | |||
39851791 | ChatGPT, Google, or PINK? Who Provides the Most Reliable Information on Side Effects of Systemic Therapy for Early Breast Cancer? | 2,024 | Clinics and practice | Introduction: The survival in early breast cancer (BC) has been significantly improved thanks to numerous new drugs. Nevertheless, the information about the need for systemic therapy, especially chemotherapy, represents an additional stress factor for patients. A common coping strategy is searching for further informat... | Lukac S; Griewing S; Leinert E; Dayan D; Heitmeir B; Wallwiener M; Janni W; Fink V; Ebner F | 0-1 | |||
38728938 | Comparative analysis of ChatGPT, Gemini and emergency medicine specialist in ESI triage assessment. | 2,024 | The American journal of emergency medicine | INTRODUCTION: The term Artificial Intelligence (AI) was first coined in the 1960s and has made significant progress up to the present day. During this period, numerous AI applications have been developed. GPT-4 and Gemini are two of the best-known of these AI models. As a triage system The Emergency Severity Index (ESI... | Meral G; Ates S; Gunay S; Ozturk A; Kusdogan M | 10 | |||
38973528 | Evaluation of online chat-based artificial intelligence responses about inflammatory bowel disease and diet. | 2,024 | European journal of gastroenterology & hepatology | INTRODUCTION: The USA has the highest age-standardized prevalence of inflammatory bowel disease (IBD). Both genetic and environmental factors have been implicated in IBD flares and multiple strategies are centered around avoiding dietary triggers to maintain remission. Chat-based artificial intelligence (CB-AI) has sho... | Naqvi HA; Delungahawatta T; Atarere JO; Bandaru SK; Barrow JB; Mattar MC | 43 | |||
39810943 | A comparative analysis of generative artificial intelligence responses from leading chatbots to questions about endometriosis. | 2,025 | AJOG global reports | INTRODUCTION: The use of generative artificial intelligence (AI) has begun to permeate most industries, including medicine, and patients will inevitably start using these large language model (LLM) chatbots as a modality for education. As healthcare information technology evolves, it is imperative to evaluate chatbots ... | Cohen ND; Ho M; McIntire D; Smith K; Kho KA | 43 | |||
39106968 | Fact Check: Assessing the Response of ChatGPT to Alzheimer's Disease Myths. | 2,024 | Journal of the American Medical Directors Association | INTRODUCTION: There are many myths regarding Alzheimer's disease (AD) that have been circulated on the internet, each exhibiting varying degrees of accuracy, inaccuracy, and misinformation. Large language models, such as ChatGPT, may be a valuable tool to help assess these myths for veracity and inaccuracy; however, th... | Huang SS; Song Q; Beiting KJ; Duggan MC; Hines K; Murff H; Leung V; Powers J; Harvey TS; Malin B; Yin Z | 0-1 | |||
37328321 | ChatGPT and large language model (LLM) chatbots: The current state of acceptability and a proposal for guidelines on utilization in academic medicine. | 2,023 | Journal of pediatric urology | INTRODUCTION: There is currently no clear consensus on the standards for using large language models such as ChatGPT in academic medicine. Hence, we performed a scoping review of available literature to understand the current state of LLM use in medicine and to provide a guideline for future utilization in academia. MA... | Kim JK; Chua M; Rickard M; Lorenzo A | 10 | |||
40358604 | Comparing Diagnostic Accuracy of ChatGPT to Clinical Diagnosis in General Surgery Consults: A Quantitative Analysis of Disease Diagnosis. | 2,025 | Military medicine | INTRODUCTION: This study addressed the challenge of providing accurate and timely medical diagnostics in military health care settings with limited access to advanced diagnostic tools, such as those encountered in austere environments, remote locations, or during large-scale combat operations. The primary objective was... | Meier H; McMahon R; Hout B; Randles J; Aden J; Rizzo JA | 10 | |||
38555637 | Evaluating the Efficacy of AI Chatbots as Tutors in Urology: A Comparative Analysis of Responses to the 2022 In-Service Assessment of the European Board of Urology. | 2,024 | Urologia internationalis | INTRODUCTION: This study assessed the potential of large language models (LLMs) as educational tools by evaluating their accuracy in answering questions across urological subtopics. METHODS: Three LLMs (ChatGPT-3.5, ChatGPT-4, and Bing AI) were examined in two testing rounds, separated by 48 h, using 100 Multiple-Choic... | May M; Korner-Riffard K; Kollitsch L; Burger M; Brookman-May SD; Rauchenwald M; Marszalek M; Eredics K | 21 | |||
39958944 | Readability of Hospital Online Patient Education Materials Across Otolaryngology Specialties. | 2,025 | Laryngoscope investigative otolaryngology | INTRODUCTION: This study evaluates the readability of online patient education materials (OPEMs) across otolaryngology subspecialties, hospital characteristics, and national otolaryngology organizations, while assessing AI alternatives. METHODS: Hospitals from the US News Best ENT list were queried for OPEMs describing... | Warrier A; Singh RP; Haleem A; Lee A; Mothy D; Patel A; Eloy JA; Manzi B | 32 | |||
39487846 | Transforming emergency triage: A preliminary, scenario-based cross-sectional study comparing artificial intelligence models and clinical expertise for enhanced accuracy. | 2,024 | Bratislavske lekarske listy | INTRODUCTION: This study examines triage judgments in emergency settings and compares the outcomes of artificial intelligence models for healthcare professionals. It discusses the disparities in precision rates between subjective evaluations by health professionals with objective assessments of AI systems. MATERIAL AND... | Eraybar S; Dal E; Aydin MO; Begenen M | 10 | |||
39025818 | Effects of interacting with a large language model compared with a human coach on the clinical diagnostic process and outcomes among fourth-year medical students: study protocol for a prospective, randomised experiment using patient vignettes. | 2,024 | BMJ open | INTRODUCTION: Versatile large language models (LLMs) have the potential to augment diagnostic decision-making by assisting diagnosticians, thanks to their ability to engage in open-ended, natural conversations and their comprehensive knowledge access. Yet the novelty of LLMs in diagnostic decision-making introduces unc... | Kammer JE; Hautz WE; Krummrey G; Sauter TC; Penders D; Birrenbach T; Bienefeld N | 10 | |||
38665043 | Evaluating ChatGPT's Utility in Medicine Guidelines Through Web Search Analysis. | 2,024 | The Permanente journal | INTRODUCTION: With the rise of machine learning applications in health care, shifts in medical fields that rely on precise prognostic models and pattern detection tools are anticipated in the near future. Chat Generative Pretrained Transformer (ChatGPT) is a recent machine learning innovation known for producing text t... | Dubin JA; Bains SS; Hameed D; Chen Z; Gaertner E; Nace J; Mont MA; Delanois RE | 0-1 | |||
40289627 | Evaluating Large Language Models on Aerospace Medicine Principles. | 2,025 | Wilderness & environmental medicine | IntroductionLarge language models (LLMs) hold immense potential to serve as clinical decision-support tools for Earth-independent medical operations. However, the generation of incorrect information may be misleading or even harmful when applied to care in this setting.MethodTo better understand this risk, this work te... | Anderson KD; Davis CA; Pickett SM; Pohlen MS | 0-1 | |||
38502861 | ChatGPT in medicine: prospects and challenges: a review article. | 2,024 | International journal of surgery (London, England) | It has been a year since the launch of Chat Generator Pre-Trained Transformer (ChatGPT), a generative artificial intelligence (AI) program. The introduction of this cross-generational product initially brought a huge shock to people with its incredible potential and then aroused increasing concerns among people. In the... | Tan S; Xin X; Wu D | 10 | |||
37761715 | Enhancing Kidney Transplant Care through the Integration of Chatbot. | 2,023 | Healthcare (Basel, Switzerland) | Kidney transplantation is a critical treatment option for end-stage kidney disease patients, offering improved quality of life and increased survival rates. However, the complexities of kidney transplant care necessitate continuous advancements in decision making, patient communication, and operational efficiency. This... | Garcia Valencia OA; Thongprayoon C; Jadlowiec CC; Mao SA; Miao J; Cheungpasitporn W | 43 | |||
37900350 | An approach for collaborative development of a federated biomedical knowledge graph-based question-answering system: Question-of-the-Month challenges. | 2,023 | Journal of clinical and translational science | Knowledge graphs have become a common approach for knowledge representation. Yet, the application of graph methodology is elusive due to the sheer number and complexity of knowledge sources. In addition, semantic incompatibilities hinder efforts to harmonize and integrate across these diverse sources. As part of The Bi... | Fecho K; Bizon C; Issabekova T; Moxon S; Thessen AE; Abdollahi S; Baranzini SE; Belhu B; Byrd WE; Chung L; Crouse A; Duby MP; Ferguson S; Foksinska A; Forero L; Friedman J; Gardner V; Glusman G; Hadlock J; Hanspers K; Hinderer E; Hobbs C; Hyde G; Huang S; Koslicki D; Mease P; Muller S; Mungall CJ; Ramsey SA; Roach J; R... | 10 | |||
40140500 | Preliminary evaluation of ChatGPT model iterations in emergency department diagnostics. | 2,025 | Scientific reports | Large language model chatbots such as ChatGPT have shown the potential in assisting health professionals in emergency departments (EDs). However, the diagnostic accuracy of newer ChatGPT models remains unclear. This retrospective study evaluated the diagnostic performance of various ChatGPT models-including GPT-3.5, GP... | Wang J; Shue K; Liu L; Hu G | 10 | |||
40206998 | Fine-Tuning Large Language Models for Specialized Use Cases. | 2,025 | Mayo Clinic proceedings. Digital health | Large language models (LLMs) are a type of artificial intelligence, which operate by predicting and assembling sequences of words that are statistically likely to follow from a given text input. With this basic ability, LLMs are able to answer complex questions and follow extremely complex instructions. Products create... | Anisuzzaman DM; Malins JG; Friedman PA; Attia ZI | 10 | |||
37816837 | The future landscape of large language models in medicine. | 2,023 | Communications medicine | Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial public attention after OpenAI's ChatGPT was made publicly available in November 2022. LLMs can often answer questions, summarize, paraphrase and translate text on a level tha... | Clusmann J; Kolbinger FR; Muti HS; Carrero ZI; Eckardt JN; Laleh NG; Loffler CML; Schwarzkopf SC; Unger M; Veldhuizen GP; Wagner SJ; Kather JN | 10 | |||
38312244 | Comparison of large language models in management advice for melanoma: Google's AI BARD, BingAI and ChatGPT. | 2,024 | Skin health and disease | Large language models (LLMs) are emerging artificial intelligence (AI) technology refining research and healthcare. Their use in medicine has seen numerous recent applications. One area where LLMs have shown particular promise is in the provision of medical information and guidance to practitioners. This study aims to ... | Mu X; Lim B; Seth I; Xie Y; Cevik J; Sofiadellis F; Hunter-Smith DJ; Rozen WM | 10 | |||
39177261 | Harnessing large language models' zero-shot and few-shot learning capabilities for regulatory research. | 2,024 | Briefings in bioinformatics | Large language models (LLMs) are sophisticated AI-driven models trained on vast sources of natural language data. They are adept at generating responses that closely mimic human conversational patterns. One of the most notable examples is OpenAI's ChatGPT, which has been extensively used across diverse sectors. Despite... | Meshkin H; Zirkle J; Arabidarrehdor G; Chaturbedi A; Chakravartula S; Mann J; Thrasher B; Li Z | 10 | |||
39917061 | Navigating the potential and pitfalls of large language models in patient-centered medication guidance and self-decision support. | 2,025 | Frontiers in medicine | Large Language Models (LLMs) are transforming patient education in medication management by providing accessible information to support healthcare decision-making. Building on our recent scoping review of LLMs in patient education, this perspective examines their specific role in medication guidance. These artificial i... | Aydin S; Karabacak M; Vlachos V; Margetis K | 10 | |||
40097720 | Large language model agents can use tools to perform clinical calculations. | 2,025 | NPJ digital medicine | Large language models (LLMs) can answer expert-level questions in medicine but are prone to hallucinations and arithmetic errors. Early evidence suggests LLMs cannot reliably perform clinical calculations, limiting their potential integration into clinical workflows. We evaluated ChatGPT's performance across 48 medical... | Goodell AJ; Chu SN; Rouholiman D; Chu LF | 10 | |||
37460753 | Large language models in medicine. | 2,023 | Nature medicine | Large language models (LLMs) can respond to free-text queries without being specifically trained in the task in question, causing excitement and concern about their use in healthcare settings. ChatGPT is a generative artificial intelligence (AI) chatbot produced through sophisticated fine-tuning of an LLM, and other to... | Thirunavukarasu AJ; Ting DSJ; Elangovan K; Gutierrez L; Tan TF; Ting DSW | 10 | |||
38428889 | Comparison of the problem-solving performance of ChatGPT-3.5, ChatGPT-4, Bing Chat, and Bard for the Korean emergency medicine board examination question bank. | 2,024 | Medicine | Large language models (LLMs) have been deployed in diverse fields, and the potential for their application in medicine has been explored through numerous studies. This study aimed to evaluate and compare the performance of ChatGPT-3.5, ChatGPT-4, Bing Chat, and Bard for the Emergency Medicine Board Examination question... | Lee GU; Hong DY; Kim SY; Kim JW; Lee YH; Park SO; Lee KR | 21 | |||
38098921 | Stratified Evaluation of GPT's Question Answering in Surgery Reveals Artificial Intelligence (AI) Knowledge Gaps. | 2,023 | Cureus | Large language models (LLMs) have broad potential applications in medicine, such as aiding with education, providing reassurance to patients, and supporting clinical decision-making. However, there is a notable gap in understanding their applicability and performance in the surgical domain and how their performance var... | Murphy Lonergan R; Curry J; Dhas K; Simmons BI | 21 | |||
37378099 | Embracing Large Language Models for Medical Applications: Opportunities and Challenges. | 2,023 | Cureus | Large language models (LLMs) have the potential to revolutionize the field of medicine by, among other applications, improving diagnostic accuracy and supporting clinical decision-making. However, the successful integration of LLMs in medicine requires addressing challenges and considerations specific to the medical do... | Karabacak M; Margetis K | 10 | |||
39001657 | Enhancing Care for Older Adults and Dementia Patients With Large Language Models: Proceedings of the National Institute on Aging-Artificial Intelligence & Technology Collaboratory for Aging Research Symposium. | 2,024 | The journals of gerontology. Series A, Biological sciences and medical sciences | Large Language Models (LLMs) stand on the brink of reshaping the field of aging and dementia care, challenging the one-size-fits-all paradigm with their capacity for precision medicine and individualized treatment strategies. The "Large Pre-Trained Models with a Focus on AD/ADRD and Healthy Aging" symposium, organized ... | Abadir PM; Battle A; Walston JD; Chellappa R | 10 | |||
38103973 | Evaluation of ChatGPT and Google Bard Using Prompt Engineering in Cancer Screening Algorithms. | 2,024 | Academic radiology | Large language models (LLMs) such as ChatGPT and Bard have emerged as powerful tools in medicine, showcasing strong results in tasks such as radiology report translations and research paper drafting. While their implementation in clinical practice holds promise, their response accuracy remains variable. This study aime... | Nguyen D; Swanson D; Newbury A; Kim YH | 10 | |||
38726506 | ChatGPT's performance in dentistry and allergyimmunology assessments: a comparative study. | 2,023 | Swiss dental journal | Large language models (LLMs) such as ChatGPT have potential applications in healthcare, including dentistry. Priming, the practice of providing LLMs with initial, relevant information, is an approach to improve their output quality. This study aimed to evaluate the performance of ChatGPT 3 and ChatGPT 4 on self-assessm... | Fuchs A; Trachsel T; Weiger R; Eggmann F | 21 | |||
37799027 | ChatGPT's performance in dentistry and allergy-immunology assessments: a comparative study. | 2,023 | Swiss dental journal | Large language models (LLMs) such as ChatGPT have potential applications in healthcare, including dentistry. Priming, the practice of providing LLMs with initial, relevant information, is an approach to improve their output quality. This study aimed to evaluate the performance of ChatGPT 3 and ChatGPT 4 on self-assessm... | Fuchs A; Trachsel T; Weiger R; Eggmann F | 21 | |||
37855948 | Examining the Potential of ChatGPT on Biomedical Information Retrieval: Fact-Checking Drug-Disease Associations. | 2,024 | Annals of biomedical engineering | Large language models (LLMs) such as ChatGPT have recently attracted significant attention due to their impressive performance on many real-world tasks. These models have also demonstrated the potential in facilitating various biomedical tasks. However, little is known of their potential in biomedical information retri... | Gao Z; Li L; Ma S; Wang Q; Hemphill L; Xu R | 10 | |||
39722188 | Application of large language models in disease diagnosis and treatment. | 2,025 | Chinese medical journal | Large language models (LLMs) such as ChatGPT, Claude, Llama, and Qwen are emerging as transformative technologies for the diagnosis and treatment of various diseases. With their exceptional long-context reasoning capabilities, LLMs are proficient in clinically relevant tasks, particularly in medical text analysis and i... | Yang X; Li T; Su Q; Liu Y; Kang C; Lyu Y; Zhao L; Nie Y; Pan Y | 10 | |||
38801706 | Evidence-Based Learning Strategies in Medicine Using AI. | 2,024 | JMIR medical education | Large language models (LLMs), like ChatGPT, are transforming the landscape of medical education. They offer a vast range of applications, such as tutoring (personalized learning), patient simulation, generation of examination questions, and streamlined access to information. The rapid advancement of medical knowledge a... | Arango-Ibanez JP; Posso-Nunez JA; Diaz-Solorzano JP; Cruz-Suarez G | 21 | |||
37501529 | Application of ChatGPT in Routine Diagnostic Pathology: Promises, Pitfalls, and Potential Future Directions. | 2,024 | Advances in anatomic pathology | Large Language Models are forms of artificial intelligence that use deep learning algorithms to decipher large amounts of text and exhibit strong capabilities like question answering and translation. Recently, an influx of Large Language Models has emerged in the medical and academic discussion, given their potential w... | Schukow C; Smith SC; Landgrebe E; Parasuraman S; Folaranmi OO; Paner GP; Amin MB | 10 | |||
36589923 | Rapamycin in the context of Pascal's Wager: generative pre-trained transformer perspective. | 2,022 | Oncoscience | Large language models utilizing transformer neural networks and other deep learning architectures demonstrated unprecedented results in many tasks previously accessible only to human intelligence. In this article, we collaborate with ChatGPT, an AI model developed by OpenAI to speculate on the applications of Rapamycin... | Zhavoronkov A | 10 | |||
38093584 | The use of large language models in medicine: proceeding with caution. | 2,024 | Current medical research and opinion | Large language models, like ChatGPT and Bard, have potential clinical applications due to their ability to generate conversational responses and encode medical knowledge. However, their clinical adoption faces challenges including hallucinations, lack of transparency, and lack of consistency. Ethicolegal concerns surro... | Deng J; Zubair A; Park YJ; Affan E; Zuo QK | 10 | |||
37286844 | Harnessing the Potential of ChatGPT in Breast Reconstruction: A Revolution in Patient Communication and Education. | 2,023 | Aesthetic plastic surgery | Level of Evidence IV This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 . | Lanzano G | 0-1 | |||
39470819 | Comment on Evaluation of Rhinoplasty Information from ChatGPT, Gemini, and Claude. | 2,024 | Aesthetic plastic surgery | Level of Evidence V This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 . | Kleebayoon A; Wiwanitkit V | 0-1 | |||
39330905 | Enhancing the Interpretability of Malaria and Typhoid Diagnosis with Explainable AI and Large Language Models. | 2,024 | Tropical medicine and infectious disease | Malaria and Typhoid fever are prevalent diseases in tropical regions, and both are exacerbated by unclear protocols, drug resistance, and environmental factors. Prompt and accurate diagnosis is crucial to improve accessibility and reduce mortality rates. Traditional diagnosis methods cannot effectively capture the comp... | Attai K; Ekpenyong M; Amannah C; Asuquo D; Ajuga P; Obot O; Johnson E; John A; Maduka O; Akwaowo C; Uzoka FM | 10 | |||
37332004 | Success Through Simplicity: What Other Artificial Intelligence Applications in Medicine Should Learn from History and ChatGPT. | 2,023 | Annals of biomedical engineering | Many artificial intelligence (AI) algorithms have been developed for medical practice, but few have led to clinically used products. The recent hype of ChatGPT shows us that simple, user-friendly interfaces are one major factor in the applications' popularity. The majority of AI-based applications in clinical practice ... | Sedaghat S | 10 |
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