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38737711 | How AI drives innovation in cardiovascular medicine. | 2,024 | Frontiers in cardiovascular medicine | Medicine is entering a new era in which artificial intelligence (AI) and deep learning have a measurable impact on patient care. This impact is especially evident in cardiovascular medicine. While the purpose of this short opinion paper is not to provide an in-depth review of the many applications of AI in cardiovascul... | Cerrato PL; Halamka JD | 10 | |||
37082496 | Neuroblastoma Masquerading as a Septic Hip Infection in a Three-Year-Old. | 2,023 | Cureus | Metastatic neuroblastoma to the bone and septic joint shares the same incidence in age and clinical symptomology. Here we discuss a three-year-old male who presented with anemia, persistent hip pain, and a refusal to bear weight. A thorough evaluation based on a broad differential diagnosis allowed for an expedient dia... | Lynch JD; Tomboc PJ | 0-1 | |||
37077800 | From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing. | 2,023 | Biology of sport | Natural language processing (NLP) has been studied in computing for decades. Recent technological advancements have led to the development of sophisticated artificial intelligence (AI) models, such as Chat Generative Pre-trained Transformer (ChatGPT). These models can perform a range of language tasks and generate huma... | Dergaa I; Chamari K; Zmijewski P; Ben Saad H | 10 | |||
39059557 | Natural Language Processing in medicine and ophthalmology: A review for the 21st-century clinician. | 2,024 | Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) | Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and human language, enabling computers to understand, generate, and derive meaning from human language. NLP's potential applications in the medical field are extensive and vary from extracting da... | Rojas-Carabali W; Agrawal R; Gutierrez-Sinisterra L; Baxter SL; Cifuentes-Gonzalez C; Wei YC; Abisheganaden J; Kannapiran P; Wong S; Lee B; de-la-Torre A; Agrawal R | 10 | |||
36924907 | The exciting potential for ChatGPT in obstetrics and gynecology. | 2,023 | American journal of obstetrics and gynecology | Natural language processing-the branch of artificial intelligence concerned with the interaction between computers and human language-has advanced markedly in recent years with the introduction of sophisticated deep-learning models. Improved performance in natural language processing tasks, such as text and speech proc... | Grunebaum A; Chervenak J; Pollet SL; Katz A; Chervenak FA | 10 | |||
39634994 | Evaluating the Performance of ChatGPT in the Prescribing Safety Assessment: Implications for Artificial Intelligence-Assisted Prescribing. | 2,024 | Cureus | Objective With the rapid advancement of artificial intelligence (AI) technologies, models like Chat Generative Pre-Trained Transformer (ChatGPT) are increasingly being evaluated for their potential applications in healthcare. The Prescribing Safety Assessment (PSA) is a standardised test for junior physicians in the UK... | Bull D; Okaygoun D | 10 | |||
38593984 | Identifying ChatGPT-Written Patient Education Materials Using Text Analysis and Readability. | 2,024 | American journal of perinatology | OBJECTIVE: Artificial intelligence (AI)-based text generators such as Chat Generative Pre-Trained Transformer (ChatGPT) have come into the forefront of modern medicine. Given the similarity between AI-generated and human-composed text, tools need to be developed to quickly differentiate the two. Previous work has show... | Monje S; Ulene S; Gimovsky AC | 10 | |||
38599321 | Chatbots vs andrologists: Testing 25 clinical cases. | 2,024 | The French journal of urology | OBJECTIVE: AI-derived language models are booming, and their place in medicine is undefined. The aim of our study is to compare responses to andrology clinical cases, between chatbots and andrologists, to assess the reliability of these technologies. MATERIAL AND METHOD: We analyzed the responses of 32 experts, 18 resi... | Perrot O; Schirmann A; Vidart A; Guillot-Tantay C; Izard V; Lebret T; Boillot B; Mesnard B; Lebacle C; Madec FX | 10 | |||
39715109 | Comparison of the experience and perception of artificial intelligence among practicing doctors and medical students. | 2,024 | Wiadomosci lekarskie (Warsaw, Poland : 1960) | OBJECTIVE: Aim: To analyze and compare the experiences and perceptions of artificial intelligence (AI) among practicing doctors and medical students. PATIENTS AND METHODS: Materials and Methods: A survey was conducted among 30 doctors and 30 fifth-year master's students enrolled in the "Medicine" program. Participants ... | Drevitska OO; Butska LV; Drevytskyi OO; Ryzhak VO; Varina HB; Kovalova OV; Medvid IV | 10 | |||
38374694 | Neurological Diagnosis: Artificial Intelligence Compared With Diagnostic Generator. | 2,024 | The neurologist | OBJECTIVE: Artificial intelligence has recently become available for widespread use in medicine, including the interpretation of digitized information, big data for tracking disease trends and patterns, and clinical diagnosis. Comparative studies and expert opinion support the validity of imaging and data analysis, yet... | Finelli PF | 10 | |||
40060265 | Emergency Medicine Assistants in the Field of Toxicology, Comparison of ChatGPT-3.5 and GEMINI Artificial Intelligence Systems. | 2,024 | Acta medica Lituanica | OBJECTIVE: Artificial intelligence models human thinking and problem-solving abilities, allowing computers to make autonomous decisions. There is a lack of studies demonstrating the clinical utility of GPT and Gemin in the field of toxicology, which means their level of competence is not well understood. This study com... | Bedel HA; Bedel C; Selvi F; Zortuk O; Karanci Y | 21 | |||
39285054 | Evaluation of Rhinoplasty Information from ChatGPT, Gemini, and Claude for Readability and Accuracy. | 2,025 | Aesthetic plastic surgery | OBJECTIVE: Assessment of the readability, accuracy, quality, and completeness of ChatGPT (Open AI, San Francisco, CA), Gemini (Google, Mountain View, CA), and Claude (Anthropic, San Francisco, CA) responses to common questions about rhinoplasty. METHODS: Ten questions commonly encountered in the senior author's (SPM) r... | Meyer MKR; Kandathil CK; Davis SJ; Durairaj KK; Patel PN; Pepper JP; Spataro EA; Most SP | 32 | |||
38511678 | Is ChatGPT an Accurate and Reliable Source of Information for Patients with Vaccine and Statin Hesitancy? | 2,024 | Medeniyet medical journal | OBJECTIVE: Chat Generative Pre-trained Transformer (ChatGPT) is an artificial intelligence (AI) language model that is trained to respond to questions across a wide range of topics. Our aim is to elucidate whether it would be beneficial for patients who are hesitant about vaccines and statins to use ChatGPT. METHODS: T... | Torun C; Sarmis A; Oguz A | 0-1 | |||
38084123 | Are Different Versions of ChatGPT's Ability Comparable to the Clinical Diagnosis Presented in Case Reports? A Descriptive Study. | 2,023 | Journal of multidisciplinary healthcare | OBJECTIVE: ChatGPT, an advanced language model developed by OpenAI, holds the opportunity to bring about a transformation in the processing of clinical decision-making within the realm of medicine. Despite the growing popularity of research related on ChatGPT, there is a paucity of research assessing its appropriatenes... | Chen J; Liu L; Ruan S; Li M; Yin C | 10 | |||
39232303 | Bias Perpetuates Bias: ChatGPT Learns Gender Inequities in Academic Surgery Promotions. | 2,024 | Journal of surgical education | OBJECTIVE: Gender inequities persist in academic surgery with implicit bias impacting hiring and promotion at all levels. We hypothesized that creating letters of recommendation for both female and male candidates for academic promotion in surgery using an AI platform, ChatGPT, would elucidate the entrained gender bias... | Desai P; Wang H; Davis L; Ullmann TM; DiBrito SR | 10 | |||
37701430 | The potential of chatbots in chronic venous disease patient management. | 2,023 | JVS-vascular insights | OBJECTIVE: Health care providers and recipients have been using artificial intelligence and its subfields, such as natural language processing and machine learning technologies, in the form of search engines to obtain medical information for some time now. Although a search engine returns a ranked list of webpages in r... | Athavale A; Baier J; Ross E; Fukaya E | 43 | |||
38462064 | Evaluation of ChatGPT-generated medical responses: A systematic review and meta-analysis. | 2,024 | Journal of biomedical informatics | OBJECTIVE: Large language models (LLMs) such as ChatGPT are increasingly explored in medical domains. However, the absence of standard guidelines for performance evaluation has led to methodological inconsistencies. This study aims to summarize the available evidence on evaluating ChatGPT's performance in answering med... | Wei Q; Yao Z; Cui Y; Wei B; Jin Z; Xu X | 0-1 | |||
38556438 | Evaluating The Role of ChatGPT as a Study Aid in Medical Education in Surgery. | 2,024 | Journal of surgical education | OBJECTIVE: Our aim was to assess how ChatGPT compares to Google search in assisting medical students during their surgery clerkships. DESIGN: We conducted a crossover study where participants were asked to complete 2 standardized assessments on different general surgery topics before and after they used either Google s... | Araji T; Brooks AD | 10 | |||
38130802 | Feasibility and acceptability of ChatGPT generated radiology report summaries for cancer patients. | 2,023 | Digital health | OBJECTIVE: Patients now have direct access to their radiology reports, which can include complex terminology and be difficult to understand. We assessed ChatGPT's ability to generate summarized MRI reports for patients with prostate cancer and evaluated physician satisfaction with the artificial intelligence (AI)-summa... | Chung EM; Zhang SC; Nguyen AT; Atkins KM; Sandler HM; Kamrava M | 43 | |||
38613821 | PMC-LLaMA: toward building open-source language models for medicine. | 2,024 | Journal of the American Medical Informatics Association : JAMIA | OBJECTIVE: Recently, large language models (LLMs) have showcased remarkable capabilities in natural language understanding. While demonstrating proficiency in everyday conversations and question-answering (QA) situations, these models frequently struggle in domains that require precision, such as medical applications, ... | Wu C; Lin W; Zhang X; Zhang Y; Xie W; Wang Y | 10 | |||
38758667 | Utilizing ChatGPT as a scientific reasoning engine to differentiate conflicting evidence and summarize challenges in controversial clinical questions. | 2,024 | Journal of the American Medical Informatics Association : JAMIA | OBJECTIVE: Synthesizing and evaluating inconsistent medical evidence is essential in evidence-based medicine. This study aimed to employ ChatGPT as a sophisticated scientific reasoning engine to identify conflicting clinical evidence and summarize unresolved questions to inform further research. MATERIALS AND METHODS: ... | Xie S; Zhao W; Deng G; He G; He N; Lu Z; Hu W; Zhao M; Du J | 0-1 | |||
39833868 | Health profession students' perceptions of ChatGPT in healthcare and education: insights from a mixed-methods study. | 2,025 | BMC medical education | OBJECTIVE: The aim of this study was to investigate the perceptions of health profession students regarding ChatGPT use and the potential impact of integrating ChatGPT in healthcare and education. BACKGROUND: Artificial Intelligence is increasingly utilized in medical education and clinical profession training. However... | Moskovich L; Rozani V | 10 | |||
38112347 | FROM TEXT TO DIAGNOSE: CHATGPT'S EFFICACY IN MEDICAL DECISION-MAKING. | 2,023 | Wiadomosci lekarskie (Warsaw, Poland : 1960) | OBJECTIVE: The aim: Evaluate the diagnostic capabilities of the ChatGPT in the field of medical diagnosis. PATIENTS AND METHODS: Materials and methods: We utilized 50 clinical cases, employing Large Language Model ChatGPT-3.5. The experiment had three phases, each with a new chat setup. In the initial phase, ChatGPT re... | Mykhalko Y; Kish P; Rubtsova Y; Kutsyn O; Koval V | 10 | |||
38488302 | ChatGPT for Automated Cross-Checking of Authors' Conflicts of Interest Against Industry Payments. | 2,024 | Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery | OBJECTIVE: The Centers for Medicare & Medicaid Services "OpenPayments" database tracks industry payments to US physicians to improve research conflicts of interest (COIs) transparency, but manual cross-checking of articles' authors against this database is labor-intensive. This study aims to assess the potential of lar... | Safranek C; Liu C; Richmond R; Boyi T; Rimmer R; Manes RP | 10 | |||
39603549 | Taxonomy-based prompt engineering to generate synthetic drug-related patient portal messages. | 2,024 | Journal of biomedical informatics | OBJECTIVE: The objectives of this study were to: (1) create a corpus of synthetic drug-related patient portal messages to address the current lack of publicly available datasets for model development, (2) assess differences in language used and linguistics among the synthetic patient portal messages, and (3) assess the... | Wang N; Treewaree S; Zirikly A; Lu YL; Nguyen MH; Agarwal B; Shah J; Stevenson JM; Taylor CO | 10 | |||
39254470 | Is Artificial Intelligence (AI) currently able to provide evidence-based scientific responses on methods that can improve the outcomes of embryo transfers? No. | 2,024 | JBRA assisted reproduction | OBJECTIVE: The rapid development of Artificial Intelligence (AI) has raised questions about its potential uses in different sectors of everyday life. Specifically in medicine, the question arose whether chatbots could be used as tools for clinical decision-making or patients' and physicians' education. To answer this q... | Kolokythas A; Dahan MH | 0-1 | |||
38815316 | Automating biomedical literature review for rapid drug discovery: Leveraging GPT-4 to expedite pandemic response. | 2,024 | International journal of medical informatics | OBJECTIVE: The rapid expansion of the biomedical literature challenges traditional review methods, especially during outbreaks of emerging infectious diseases when quick action is critical. Our study aims to explore the potential of ChatGPT to automate the biomedical literature review for rapid drug discovery. MATERIAL... | Yang J; Walker KC; Bekar-Cesaretli AA; Hao B; Bhadelia N; Joseph-McCarthy D; Paschalidis IC | 10 | |||
38135548 | Development and Evaluation of Aeyeconsult: A Novel Ophthalmology Chatbot Leveraging Verified Textbook Knowledge and GPT-4. | 2,024 | Journal of surgical education | OBJECTIVE: There has been much excitement on the use of large language models (LLMs) such as ChatGPT in ophthalmology. However, LLMs are limited in that they are trained on unverified information and do not cite their sources. This paper highlights a new methodology to create a generative AI chatbot to answer eye care ... | Singer MB; Fu JJ; Chow J; Teng CC | 0-1 | |||
37017291 | Implications of large language models such as ChatGPT for dental medicine. | 2,023 | Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] | OBJECTIVE: This article provides an overview of the implications of ChatGPT and other large language models (LLMs) for dental medicine. OVERVIEW: ChatGPT, a LLM trained on massive amounts of textual data, is adept at fulfilling various language-related tasks. Despite its impressive capabilities, ChatGPT has serious lim... | Eggmann F; Weiger R; Zitzmann NU; Blatz MB | 10 | |||
37991499 | How ChatGPT works: a mini 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 | OBJECTIVE: This paper offers a mini-review of OpenAI's language model, ChatGPT, detailing its mechanisms, applications in healthcare, and comparisons with other large language models (LLMs). METHODS: The underlying technology of ChatGPT is outlined, focusing on its neural network architecture, training process, and the... | Briganti G | 10 | |||
40318343 | Taking the plunge together: A student-led faculty learning seminar series on artificial intelligence. | 2,025 | Currents in pharmacy teaching & learning | OBJECTIVE: This pilot study explored the effectiveness of a student-led faculty development series by evaluating two key outcomes: the capacity of students to deliver meaningful professional development sessions to faculty and the impact of these sessions on faculty perceptions of generative artificial intelligence (AI... | Munir F; Abdulbaki E; Saiyad Z; Ipema H | 10 | |||
38188855 | Performance of ChatGPT incorporated chain-of-thought method in bilingual nuclear medicine physician board examinations. | 2,024 | Digital health | OBJECTIVE: This research explores the performance of ChatGPT, compared to human doctors, in bilingual, Mandarin Chinese and English, medical specialty exam in Nuclear Medicine in Taiwan. METHODS: The study employed generative pre-trained transformer (GPT-4) and integrated chain-of-thoughts (COT) method to enhance perfo... | Ting YT; Hsieh TC; Wang YF; Kuo YC; Chen YJ; Chan PK; Kao CH | 21 | |||
37274428 | Using ChatGPT in Medical Research: Current Status and Future Directions. | 2,023 | Journal of multidisciplinary healthcare | OBJECTIVE: This review aims to evaluate the current evidence on the use of the Generative Pre-trained Transformer (ChatGPT) in medical research, including but not limited to treatment, diagnosis, or medication provision. METHODS: This review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses... | Ruksakulpiwat S; Kumar A; Ajibade A | 10 | |||
40234374 | Can interactive artificial intelligence be used for patient explanations of nuclear medicine examinations in Japanese? | 2,025 | Annals of nuclear medicine | OBJECTIVE: This study aimed to evaluate the accuracy and validity of patient explanations about nuclear medicine examinations generated in Japanese using ChatGPT- 3.5 and ChatGPT- 4. METHODS: ChatGPT was used to generate Japanese language explanations for seven single-photon emission computed tomography examinations (b... | Matsutomo N; Fukami M; Yamamoto T | 43 | |||
38793077 | Assessment of the Quality and Readability of Information Provided by ChatGPT in Relation to the Use of Platelet-Rich Plasma Therapy for Osteoarthritis. | 2,024 | Journal of personalized medicine | Objective: This study aimed to evaluate the quality and readability of information generated by ChatGPT versions 3.5 and 4 concerning platelet-rich plasma (PRP) therapy in the management of knee osteoarthritis (OA), exploring whether large language models (LLMs) could play a significant role in patient education. Desig... | Fahy S; Niemann M; Bohm P; Winkler T; Oehme S | 32 | |||
39564507 | The performance of AI in medical examinations: an exploration of ChatGPT in ultrasound medical education. | 2,024 | Frontiers in medicine | OBJECTIVE: This study aims to evaluate the accuracy of ChatGPT in the context of China's Intermediate Professional Technical Qualification Examination for Ultrasound Medicine, exploring its potential role in ultrasound medical education. METHODS: A total of 100 questions, comprising 70 single-choice and 30 multiple-cho... | Hong DR; Huang CY | 21 | |||
40075297 | AI-assisted decision-making in mild traumatic brain injury. | 2,025 | BMC emergency medicine | OBJECTIVE: This study evaluates the potential use of ChatGPT in aiding clinical decision-making for patients with mild traumatic brain injury (TBI) by assessing the quality of responses it generates for clinical care. METHODS: Seventeen mild TBI case scenarios were selected from PubMed Central, and each case was analyz... | Yigit Y; Kaynak MF; Alkahlout B; Ahmed S; Gunay S; Ozbek AE | 0-1 | |||
37545428 | Dr. ChatGPT: Utilizing Artificial Intelligence in Surgical Education. | 2,024 | The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association | OBJECTIVE: This study sought to explore the unexamined capabilities of ChatGPT in describing the surgical steps of a specialized operation, the Fisher cleft lip repair. DESIGN: A chat log within ChatGPT was created to generate the procedural steps of a cleft lip repair utilizing the Fisher technique. A board certified ... | Lebhar MS; Velazquez A; Goza S; Hoppe IC | 32 | |||
38314324 | Large-Scale assessment of ChatGPT's performance in benign and malignant bone tumors imaging report diagnosis and its potential for clinical applications. | 2,024 | Journal of bone oncology | OBJECTIVE: This study was designed to delve into the complexities involved in diagnosing of benign and malignant bone tumors and to assess the potential of AI technologies like ChatGPT in improving diagnostic accuracy and efficiency. The study also explores the few-shot learning as a method to optimize ChatGPT's perfor... | Yang F; Yan D; Wang Z | 0-1 | |||
38720222 | The Revival of Essay-Type Questions in Medical Education: Harnessing Artificial Intelligence and Machine Learning. | 2,024 | Journal of the College of Physicians and Surgeons--Pakistan : JCPSP | OBJECTIVE: To analyse and compare the assessment and grading of human-written and machine-written formative essays. STUDY DESIGN: Quasi-experimental, qualitative cross-sectional study. Place and Duration of the Study: Department of Science of Dental Materials, Hamdard College of Medicine & Dentistry, Hamdard University... | Shamim MS; Zaidi SJA; Rehman A | 0-1 | |||
40273883 | Artificial intelligence (AI) performance on pharmacy skills laboratory course assignments. | 2,025 | Currents in pharmacy teaching & learning | OBJECTIVE: To compare pharmacy student scores to scores of artificial intelligence (AI)-generated results of three common platforms on pharmacy skills laboratory assignments. METHODS: Pharmacy skills laboratory course assignments were completed by four fourth-year pharmacy student investigators with three free AI platf... | Do V; Donohoe KL; Peddi AN; Carr E; Kim C; Mele V; Patel D; Crawford AN | 10 | |||
37217092 | The promise and peril of using a large language model to obtain clinical information: ChatGPT performs strongly as a fertility counseling tool with limitations. | 2,023 | Fertility and sterility | OBJECTIVE: To compare the responses of the large language model-based "ChatGPT" to reputable sources when given fertility-related clinical prompts. DESIGN: The "Feb 13" version of ChatGPT by OpenAI was tested against established sources relating to patient-oriented clinical information: 17 "frequently asked questions (... | Chervenak J; Lieman H; Blanco-Breindel M; Jindal S | 0-1 | |||
38712405 | Exploring the application of CHATGPT in plastic surgery: a comprehensive systematic review. | 2,024 | JPMA. The Journal of the Pakistan Medical Association | OBJECTIVE: To determine the impact of ChatGPT in plastic surgery research and assess the authenticity of such contributions. METHODS: The study conducted a literature search in Sep'23 from databases like Pubmed, Google Scholar, SCOPUS, and OVID Medline.The following keywords 'ChatGPT', 'chatbot', 'reconstruction', 'aes... | Arif F; Safri MK; Shahzad Z; Yasmeen SF; Rahman MF; Shaikh SA | 32 | |||
39460888 | Performance Assessment of GPT 4.0 on the Japanese Medical Licensing Examination. | 2,024 | Current medical science | OBJECTIVE: To evaluate the accuracy and parsing ability of GPT 4.0 for Japanese medical practitioner qualification examinations in a multidimensional way to investigate its response accuracy and comprehensiveness to medical knowledge. METHODS: We evaluated the performance of the GPT 4.0 on Japanese Medical Licensing Ex... | Wang HL; Zhou H; Zhang JY; Xie Y; Yang JM; Xue MD; Yan ZN; Li W; Zhang XB; Wu Y; Chen XL; Liu PR; Lu L; Ye ZW | 21 | |||
37277096 | Appropriateness and Readability of ChatGPT-4-Generated Responses for Surgical Treatment of Retinal Diseases. | 2,023 | Ophthalmology. Retina | OBJECTIVE: To evaluate the appropriateness and readability of the medical knowledge provided by ChatGPT-4, an artificial intelligence-powered conversational search engine, regarding common vitreoretinal surgeries for retinal detachments (RDs), macular holes (MHs), and epiretinal membranes (ERMs). DESIGN: Retrospective ... | Momenaei B; Wakabayashi T; Shahlaee A; Durrani AF; Pandit SA; Wang K; Mansour HA; Abishek RM; Xu D; Sridhar J; Yonekawa Y; Kuriyan AE | 32 | |||
37614494 | Diagnostic and Management Applications of ChatGPT in Structured Otolaryngology Clinical Scenarios. | 2,023 | OTO open | OBJECTIVE: To evaluate the clinical applications and limitations of chat generative pretrained transformer (ChatGPT) in otolaryngology. STUDY DESIGN: Cross-sectional survey. SETTING: Tertiary academic center. METHODS: ChatGPT 4.0 was queried for diagnoses and management plans for 20 physician-written clinical vignettes... | Qu RW; Qureshi U; Petersen G; Lee SC | 32 | |||
37691497 | Use of artificial intelligence large language models as a clinical tool in rehabilitation medicine: a comparative test case. | 2,023 | Journal of rehabilitation medicine | OBJECTIVE: To explore the potential use of artificial intelligence language models in formulating rehabilitation prescriptions and International Classification of Functioning, Disability and Health (ICF) codes. Design: Comparative study based on a single case report compared to standard answers from a textbook. SUBJEC... | Zhang L; Tashiro S; Mukaino M; Yamada S | 10 | |||
38578616 | Can large language models provide secondary reliable opinion on treatment options for dermatological diseases? | 2,024 | Journal of the American Medical Informatics Association : JAMIA | OBJECTIVE: To investigate the consistency and reliability of medication recommendations provided by ChatGPT for common dermatological conditions, highlighting the potential for ChatGPT to offer second opinions in patient treatment while also delineating possible limitations. MATERIALS AND METHODS: In this mixed-methods... | Iqbal U; Lee LT; Rahmanti AR; Celi LA; Li YJ | 0-1 | |||
39316174 | Accuracy and consistency of ChatGPT-3.5 and - 4 in providing differential diagnoses in oral and maxillofacial diseases: a comparative diagnostic performance analysis. | 2,024 | Clinical oral investigations | OBJECTIVE: To investigate the performance of ChatGPT in the differential diagnosis of oral and maxillofacial diseases. METHODS: Thirty-seven oral and maxillofacial lesions findings were presented to ChatGPT-3.5 and - 4, 18 dental surgeons trained in oral medicine/pathology (OMP), 23 general dental surgeons (DDS), and 1... | Tomo S; Lechien JR; Bueno HS; Cantieri-Debortoli DF; Simonato LE | 32 | |||
39799741 | The role of artificial intelligence in gynecologic and obstetric emergencies. | 2,025 | European journal of obstetrics, gynecology, and reproductive biology | OBJECTIVE: To investigate the potential of artificial intelligence (AI) in emergency medicine, focusing on its utility in triaging and managing acute gynecologic and obstetric emergencies. METHODS AND MATERIALS: This feasibility study assessed Chat-GPT's performance in triaging and recommending management interventions... | Psilopatis I; Heindl F; Cupisti S; Fischer U; Kohlmann V; Schneider M; Bader S; Krueckel A; Emons J | 10 | |||
39420246 | Exploring the potential of artificial intelligence models for triage in the emergency department. | 2,024 | Postgraduate medicine | OBJECTIVE: To perform a comparative analysis of the three-level triage protocol conducted by triage nurses and emergency medicine doctors with the use of ChatGPT, Gemini, and Pi, which are recognized artificial intelligence (AI) models widely used in the daily life. MATERIALS AND METHODS: The study was prospectively co... | Tortum F; Kasali K | 10 | |||
40290213 | Comparison of performance of artificial intelligence tools in answering emergency medicine question pool: ChatGPT 4.0, Google Gemini and Microsoft Copilot. | 2,025 | Pakistan journal of medical sciences | OBJECTIVE: Using artificial intelligence tools that work with different software architectures for both clinical and educational purposes in the medical field has been a subject of considerable interest recently. In this study, we compared the answers given by three different artificial intelligence chatbots to the Eme... | Aksoy I; Arslan MK | 21 | |||
38487300 | Can ChatGPT-3.5 Pass a Medical Exam? A Systematic Review of ChatGPT's Performance in Academic Testing. | 2,024 | Journal of medical education and curricular development | OBJECTIVE: We, therefore, aim to conduct a systematic review to assess the academic potential of ChatGPT-3.5, along with its strengths and limitations when giving medical exams. METHOD: Following PRISMA guidelines, a systemic search of the literature was performed using electronic databases PUBMED/MEDLINE, Google Schol... | Sumbal A; Sumbal R; Amir A | 21 | |||
38818395 | Global trends and hotspots of ChatGPT in medical research: a bibliometric and visualized study. | 2,024 | Frontiers in medicine | OBJECTIVE: With the rapid advancement of Chat Generative Pre-Trained Transformer (ChatGPT) in medical research, our study aimed to identify global trends and focal points in this domain. METHOD: All publications on ChatGPT in medical research were retrieved from the Web of Science Core Collection (WoSCC) by Clarivate A... | Liu L; Qu S; Zhao H; Kong L; Xie Z; Jiang Z; Zou P | 10 | |||
38073946 | Potential Use of ChatGPT for Patient Information in Periodontology: A Descriptive Pilot Study. | 2,023 | Cureus | Objectives The aim of this study is to evaluate the accuracy and completeness of the answers given by Chat Generative Pre-trained Transformer (ChatGPT) (OpenAI OpCo, LLC, San Francisco, CA), to the most frequently asked questions on different topics in the field of periodontology. Methods The 10 most frequently asked q... | Babayigit O; Tastan Eroglu Z; Ozkan Sen D; Ucan Yarkac F | 32 | |||
38995551 | Assessing ChatGPT's theoretical knowledge and prescriptive accuracy in bacterial infections: a comparative study with infectious diseases residents and specialists. | 2,024 | Infection | OBJECTIVES: Advancements in Artificial Intelligence(AI) have made platforms like ChatGPT increasingly relevant in medicine. This study assesses ChatGPT's utility in addressing bacterial infection-related questions and antibiogram-based clinical cases. METHODS: This study involved a collaborative effort involving infect... | De Vito A; Geremia N; Marino A; Bavaro DF; Caruana G; Meschiari M; Colpani A; Mazzitelli M; Scaglione V; Venanzi Rullo E; Fiore V; Fois M; Campanella E; Pistara E; Faltoni M; Nunnari G; Cattelan A; Mussini C; Bartoletti M; Vaira LA; Madeddu G | 43 | |||
40097790 | Assessing the performance of an artificial intelligence based chatbot in the differential diagnosis of oral mucosal lesions: clinical validation study. | 2,025 | Clinical oral investigations | OBJECTIVES: Artificial intelligence (AI) is becoming more popular in medicine. The current study aims to investigate, primarily, if an AI-based chatbot, such as ChatGPT, could be a valid tool for assisting in establishing a differential diagnosis of oral mucosal lesions. METHODS: Data was gathered from patients who wer... | Grinberg N; Whitefield S; Kleinman S; Ianculovici C; Wasserman G; Peleg O | 32 | |||
39588809 | Artificial intelligence and pain medicine education: Benefits and pitfalls for the medical trainee. | 2,025 | Pain practice : the official journal of World Institute of Pain | OBJECTIVES: Artificial intelligence (AI) represents an exciting and evolving technology that is increasingly being utilized across pain medicine. Large language models (LLMs) are one type of AI that has become particularly popular. Currently, there is a paucity of literature analyzing the impact that AI may have on tra... | Glicksman M; Wang S; Yellapragada S; Robinson C; Orhurhu V; Emerick T | 0-1 | |||
38940388 | Artificial intelligence chatbot vs pathology faculty and residents: Real-world clinical questions from a genitourinary treatment planning conference. | 2,024 | American journal of clinical pathology | OBJECTIVES: Artificial intelligence (AI)-based chatbots have demonstrated accuracy in a variety of fields, including medicine, but research has yet to substantiate their accuracy and clinical relevance. We evaluated an AI chatbot's answers to questions posed during a treatment planning conference. METHODS: Pathology re... | Luo MX; Lyle A; Bennett P; Albertson D; Sirohi D; Maughan BL; McMurtry V; Mahlow J | 43 | |||
39843286 | Efficacy and empathy of AI chatbots in answering frequently asked questions on oral oncology. | 2,025 | Oral surgery, oral medicine, oral pathology and oral radiology | OBJECTIVES: Artificial intelligence chatbots have demonstrated feasibility and efficacy in improving health outcomes. In this study, responses from 5 different publicly available AI chatbots-Bing, GPT-3.5, GPT-4, Google Bard, and Claude-to frequently asked questions related to oral cancer were evaluated. STUDY DESIGN: ... | Rokhshad R; Khoury ZH; Mohammad-Rahimi H; Motie P; Price JB; Tavares T; Jessri M; Bavarian R; Sciubba JJ; Sultan AS | 43 | |||
37529789 | Performance of emergency triage prediction of an open access natural language processing based chatbot application (ChatGPT): A preliminary, scenario-based cross-sectional study. | 2,023 | Turkish journal of emergency medicine | OBJECTIVES: Artificial intelligence companies have been increasing their initiatives recently to improve the results of chatbots, which are software programs that can converse with a human in natural language. The role of chatbots in health care is deemed worthy of research. OpenAI's ChatGPT is a supervised and empower... | Sarbay I; Berikol GB; Ozturan IU | 10 | |||
38895543 | ChatGPT-3.5 passes Poland's medical final examination-Is it possible for ChatGPT to become a doctor in Poland? | 2,024 | SAGE open medicine | OBJECTIVES: ChatGPT is an advanced chatbot based on Large Language Model that has the ability to answer questions. Undoubtedly, ChatGPT is capable of transforming communication, education, and customer support; however, can it play the role of a doctor? In Poland, prior to obtaining a medical diploma, candidates must s... | Suwala S; Szulc P; Guzowski C; Kaminska B; Dorobiala J; Wojciechowska K; Berska M; Kubicka O; Kosturkiewicz O; Kosztulska B; Rajewska A; Junik R | 21 | |||
37083166 | Potentials and pitfalls of ChatGPT and natural-language artificial intelligence models for the understanding of laboratory medicine test results. An assessment by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group on Artificial Intelligence (WG-AI). | 2,023 | Clinical chemistry and laboratory medicine | OBJECTIVES: ChatGPT, a tool based on natural language processing (NLP), is on everyone's mind, and several potential applications in healthcare have been already proposed. However, since the ability of this tool to interpret laboratory test results has not yet been tested, the EFLM Working group on Artificial Intellige... | Cadamuro J; Cabitza F; Debeljak Z; De Bruyne S; Frans G; Perez SM; Ozdemir H; Tolios A; Carobene A; Padoan A | 10 | |||
37992892 | Assessing the applicability and appropriateness of ChatGPT in answering clinical pharmacy questions. | 2,024 | Annales pharmaceutiques francaises | OBJECTIVES: Clinical pharmacists rely on different scientific references to ensure appropriate, safe, and cost-effective drug use. Tools based on artificial intelligence (AI) such as ChatGPT (Generative Pre-trained Transformer) could offer valuable support. The objective of this study was to assess ChatGPT's capacity t... | Fournier A; Fallet C; Sadeghipour F; Perrottet N | 10 | |||
39661726 | Medical language matters: impact of clinical summary composition on a generative artificial intelligence's diagnostic accuracy. | 2,025 | Diagnosis (Berlin, Germany) | OBJECTIVES: Evaluate the impact of problem representation (PR) characteristics on Generative Artificial Intelligence (GAI) diagnostic accuracy. METHODS: Internal medicine attendings and residents from two academic medical centers were given a clinical vignette and instructed to write a PR. Deductive content analysis de... | Skittle C; Bonifacino E; McQuade CN | 10 | |||
38804035 | Comparison of ChatGPT, Gemini, and Le Chat with physician interpretations of medical laboratory questions from an online health forum. | 2,024 | Clinical chemistry and laboratory medicine | OBJECTIVES: Laboratory medical reports are often not intuitively comprehensible to non-medical professionals. Given their recent advancements, easier accessibility and remarkable performance on medical licensing exams, patients are therefore likely to turn to artificial intelligence-based chatbots to understand their l... | Meyer A; Soleman A; Riese J; Streichert T | 43 | |||
40113208 | Comparing large language models for antibiotic prescribing in different clinical scenarios: which performs better? | 2,025 | Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases | OBJECTIVES: Large language models (LLMs) show promise in clinical decision-making, but comparative evaluations of their antibiotic prescribing accuracy are limited. This study assesses the performance of various LLMs in recommending antibiotic treatments across diverse clinical scenarios. METHODS: Fourteen LLMs, includ... | De Vito A; Geremia N; Bavaro DF; Seo SK; Laracy J; Mazzitelli M; Marino A; Maraolo AE; Russo A; Colpani A; Bartoletti M; Cattelan AM; Mussini C; Parisi SG; Vaira LA; Nunnari G; Madeddu G | 10 | |||
39393839 | Investigating the capabilities of advanced large language models in generating patient instructions and patient educational material. | 2,024 | European journal of hospital pharmacy : science and practice | OBJECTIVES: Large language models (LLMs) with advanced language generation capabilities have the potential to enhance patient interactions. This study evaluates the effectiveness of ChatGPT 4.0 and Gemini 1.0 Pro in providing patient instructions and creating patient educational material (PEM). METHODS: A cross-section... | Sridharan K; Sivaramakrishnan G | 10 | |||
38046089 | Brain versus bot: Distinguishing letters of recommendation authored by humans compared with artificial intelligence. | 2,023 | AEM education and training | OBJECTIVES: Letters of recommendation (LORs) are essential within academic medicine, affecting a number of important decisions regarding advancement, yet these letters take significant amounts of time and labor to prepare. The use of generative artificial intelligence (AI) tools, such as ChatGPT, are gaining popularity... | Preiksaitis C; Nash C; Gottlieb M; Chan TM; Alvarez A; Landry A | 10 | |||
38857454 | RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization. | 2,024 | Journal of the American Medical Informatics Association : JAMIA | OBJECTIVES: Precise literature recommendation and summarization are crucial for biomedical professionals. While the latest iteration of generative pretrained transformer (GPT) incorporates 2 distinct modes-real-time search and pretrained model utilization-it encounters challenges in dealing with these tasks. Specifical... | Li Y; Zhao J; Li M; Dang Y; Yu E; Li J; Sun Z; Hussein U; Wen J; Abdelhameed AM; Mai J; Li S; Yu Y; Hu X; Yang D; Feng J; Li Z; He J; Tao W; Duan T; Lou Y; Li F; Tao C | 10 | |||
37945282 | Heart-to-heart with ChatGPT: the impact of patients consulting AI for cardiovascular health advice. | 2,023 | Open heart | OBJECTIVES: The advent of conversational artificial intelligence (AI) systems employing large language models such as ChatGPT has sparked public, professional and academic debates on the capabilities of such technologies. This mixed-methods study sets out to review and systematically explore the capabilities of ChatGPT... | Lautrup AD; Hyrup T; Schneider-Kamp A; Dahl M; Lindholt JS; Schneider-Kamp P | 0-1 | |||
39045939 | Comparative performance of artificial intelligence models in physical medicine and rehabilitation board-level questions. | 2,024 | Revista da Associacao Medica Brasileira (1992) | OBJECTİVES: The aim of this study was to compare the performance of artificial intelligence models ChatGPT-3.5, ChatGPT-4, and Google Bard in answering Physical Medicine and Rehabilitation board-style questions, assessing their capabilities in medical education and potential clinical applications. METHODS: A comparati... | Menekseoglu AK; Is EE | 32 | |||
38584026 | Evaluating the Potential of AI Chatbots in Treatment Decision-making for Acquired Bilateral Vocal Fold Paralysis in Adults. | 2,024 | Journal of voice : official journal of the Voice Foundation | OBJECTIVES: The development of artificial intelligence-powered language models, such as Chatbot Generative Pre-trained Transformer (ChatGPT) or Large Language Model Meta AI (Llama), is emerging in medicine. Patients and practitioners have full access to chatbots that may provide medical information. The aim of this stu... | Dronkers EAC; Geneid A; Al Yaghchi C; Lechien JR | 32 | |||
40271313 | Precision Oncology in Non-small Cell Lung Cancer: A Comparative Study of Contextualized ChatGPT Models. | 2,025 | Cureus | OBJECTIVES: The growing adoption of Large Language Models (LLMs) in medicine has raised important questions about their potential utility for clinical decision support within oncology. This study aimed to evaluate the effects of various contextualization methods on ChatGPT's ability to provide National Comprehensive Ca... | Brown EDL; Shah HA; Donnelly BM; Ward M; Vojnic M; D'Amico RS | 10 | |||
38830507 | Enhancing Diagnostic Support for Chiari Malformation and Syringomyelia: A Comparative Study of Contextualized ChatGPT Models. | 2,024 | World neurosurgery | OBJECTIVES: The rapidly increasing adoption of large language models in medicine has drawn attention to potential applications within the field of neurosurgery. This study evaluates the effects of various contextualization methods on ChatGPT's ability to provide expert-consensus aligned recommendations on the diagnosis... | Brown EDL; Ward M; Maity A; Mittler MA; Larry Lo SF; D'Amico RS | 10 | |||
37494894 | Diagnostic and Management Performance of ChatGPT in Obstetrics and Gynecology. | 2,023 | Gynecologic and obstetric investigation | OBJECTIVES: The use of artificial intelligence (AI) in clinical patient management and medical education has been advancing over time. ChatGPT was developed and trained recently, using a large quantity of textual data from the internet. Medical science is expected to be transformed by its use. The present study was con... | Allahqoli L; Ghiasvand MM; Mazidimoradi A; Salehiniya H; Alkatout I | 0-1 | |||
39372551 | Based on Medicine, The Now and Future of Large Language Models. | 2,024 | Cellular and molecular bioengineering | OBJECTIVES: This review explores the potential applications of large language models (LLMs) such as ChatGPT, GPT-3.5, and GPT-4 in the medical field, aiming to encourage their prudent use, provide professional support, and develop accessible medical AI tools that adhere to healthcare standards. METHODS: This paper exam... | Su Z; Tang G; Huang R; Qiao Y; Zhang Z; Dai X | 10 | |||
39610079 | Application value of generative artificial intelligence in the field of stomatology. | 2,024 | Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology | OBJECTIVES: This study aims to compare and analyze three types of generative artificial intelligence (GAI) and explore their application value and existing problems in the field of stomatology in the Chinese context. METHODS: A total of 36 questions were designed, covering all the professional areas of stomatology. The... | Ye Y; Zeng W; Chen J; Liu L | 0-1 | |||
39325705 | Is ChatGPT 3.5 smarter than Otolaryngology trainees? A comparison study of board style exam questions. | 2,024 | PloS one | OBJECTIVES: This study compares the performance of the artificial intelligence (AI) platform Chat Generative Pre-Trained Transformer (ChatGPT) to Otolaryngology trainees on board-style exam questions. METHODS: We administered a set of 30 Otolaryngology board-style questions to medical students (MS) and Otolaryngology r... | Patel J; Robinson P; Illing E; Anthony B | 0-1 | |||
38481520 | Automated HEART score determination via ChatGPT: Honing a framework for iterative prompt development. | 2,024 | Journal of the American College of Emergency Physicians open | OBJECTIVES: This study presents a design framework to enhance the accuracy by which large language models (LLMs), like ChatGPT can extract insights from clinical notes. We highlight this framework via prompt refinement for the automated determination of HEART (History, ECG, Age, Risk factors, Troponin risk algorithm) s... | Safranek CW; Huang T; Wright DS; Wright CX; Socrates V; Sangal RB; Iscoe M; Chartash D; Taylor RA | 0-1 | |||
38034065 | Assessment of Artificial Intelligence Performance on the Otolaryngology Residency In-Service Exam. | 2,023 | OTO open | OBJECTIVES: This study seeks to determine the potential use and reliability of a large language learning model for answering questions in a sub-specialized area of medicine, specifically practice exam questions in otolaryngology-head and neck surgery and assess its current efficacy for surgical trainees and learners. S... | Mahajan AP; Shabet CL; Smith J; Rudy SF; Kupfer RA; Bohm LA | 21 | |||
39658118 | Assessing the accuracy and efficiency of Chat GPT-4 Omni (GPT-4o) in biomedical statistics: Comparative study with traditional tools. | 2,024 | Saudi medical journal | OBJECTIVES: To assess the accuracy of ChatGPT-4 Omni (GPT-4o) in biomedical statistics. The recent novel inauguration of Artificial Intelligence ChatGPT-Omni (GPT-4o), has emerged with the potential to analyze sophisticated and extensive data sets, challenging the expertise of statisticians using traditional statistica... | Meo AS; Shaikh N; Meo SA | 10 | |||
37794249 | ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports. | 2,024 | European radiology | OBJECTIVES: To assess the quality of simplified radiology reports generated with the large language model (LLM) ChatGPT and to discuss challenges and chances of ChatGPT-like LLMs for medical text simplification. METHODS: In this exploratory case study, a radiologist created three fictitious radiology reports which we s... | Jeblick K; Schachtner B; Dexl J; Mittermeier A; Stuber AT; Topalis J; Weber T; Wesp P; Sabel BO; Ricke J; Ingrisch M | 10 | |||
37698703 | Validity and reliability of an instrument evaluating the performance of intelligent chatbot: the Artificial Intelligence Performance Instrument (AIPI). | 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 | OBJECTIVES: To evaluate the reliability and validity of the Artificial Intelligence Performance Instrument (AIPI). METHODS: Medical records of patients consulting in otolaryngology were evaluated by physicians and ChatGPT for differential diagnosis, management, and treatment. The ChatGPT performance was rated twice usi... | Lechien JR; Maniaci A; Gengler I; Hans S; Chiesa-Estomba CM; Vaira LA | 32 | |||
37263772 | Performance and risks of ChatGPT used in drug information: an exploratory real-world analysis. | 2,024 | European journal of hospital pharmacy : science and practice | OBJECTIVES: To investigate the performance and risk associated with the usage of Chat Generative Pre-trained Transformer (ChatGPT) to answer drug-related questions. METHODS: A sample of 50 drug-related questions were consecutively collected and entered in the artificial intelligence software application ChatGPT. Answer... | Morath B; Chiriac U; Jaszkowski E; Deiss C; Nurnberg H; Horth K; Hoppe-Tichy T; Green K | 10 | |||
40046775 | Capturing pharmacists' perspectives on the value, risks, and applications of ChatGPT in pharmacy practice: A qualitative study. | 2,024 | Exploratory research in clinical and social pharmacy | OBJECTIVES: To investigate the pharmacists' perspectives on benefits and risks of using ChatGPT in pharmacy practice and explore how this disruptive and ground-breaking technology can be effectively integrated. METHODS AND MATERIALS: A qualitative approach that draws data from licensed pharmacists using semi-structured... | Jairoun AA; Al-Hemyari SS; Shahwan M; Alnuaimi GR; Ibrahim N; Jaber AAS | 10 | |||
39523628 | Use of generative artificial intelligence (AI) in psychiatry and mental health care: a systematic review. | 2,024 | Acta neuropsychiatrica | OBJECTIVES: Tools based on generative artificial intelligence (AI) such as ChatGPT have the potential to transform modern society, including the field of medicine. Due to the prominent role of language in psychiatry, e.g., for diagnostic assessment and psychotherapy, these tools may be particularly useful within this m... | Kolding S; Lundin RM; Hansen L; Ostergaard SD | 0-1 | |||
39816417 | Evaluation of ChatGPT-4 Performance in Answering Patients' Questions About the Management of Type 2 Diabetes. | 2,024 | Sisli Etfal Hastanesi tip bulteni | OBJECTIVES: Type 2 diabetes mellitus is a disease with a rising prevalence worldwide. Person-centered treatment factors, including comorbidities and treatment goals, should be considered in determining the pharmacological treatment of type 2 diabetes. ChatGPT-4 (Generative Pre-trained Transformer), a large language mod... | Gokbulut P; Kuskonmaz SM; Onder CE; Taskaldiran I; Koc G | 0-1 | |||
38964828 | Assessment of the information provided by ChatGPT regarding exercise for patients with type 2 diabetes: a pilot study. | 2,024 | BMJ health & care informatics | OBJECTIVES: We assessed the feasibility of ChatGPT for patients with type 2 diabetes seeking information about exercise. METHODS: In this pilot study, two physicians with expertise in diabetes care and rehabilitative treatment in Republic of Korea discussed and determined the 14 most asked questions on exercise for man... | Chung SM; Chang MC | 0-1 | |||
39583920 | ChatGPT in medical writing: A game-changer or a gimmick? | 2,024 | Perspectives in clinical research | OpenAI's ChatGPT (Generative Pre-trained Transformer) is a chatbot that answers questions and performs writing tasks in a conversational tone. Within months of release, multiple sectors are contemplating the varied applications of this chatbot, including medicine, education, and research, all of which are involved in m... | Ahaley SS; Pandey A; Juneja SK; Gupta TS; Vijayakumar S | 10 | |||
38611686 | Artificial Intelligence in Medical Imaging: Analyzing the Performance of ChatGPT and Microsoft Bing in Scoliosis Detection and Cobb Angle Assessment. | 2,024 | Diagnostics (Basel, Switzerland) | Open-source artificial intelligence models (OSAIM) find free applications in various industries, including information technology and medicine. Their clinical potential, especially in supporting diagnosis and therapy, is the subject of increasingly intensive research. Due to the growing interest in artificial intellige... | Fabijan A; Zawadzka-Fabijan A; Fabijan R; Zakrzewski K; Nowoslawska E; Polis B | 0-1 | |||
38138922 | Artificial Intelligence in Scoliosis Classification: An Investigation of Language-Based Models. | 2,023 | Journal of personalized medicine | Open-source artificial intelligence models are finding free application in various industries, including computer science and medicine. Their clinical potential, especially in assisting diagnosis and therapy, is the subject of increasingly intensive research. Due to the growing interest in AI for diagnostics, we conduc... | Fabijan A; Polis B; Fabijan R; Zakrzewski K; Nowoslawska E; Zawadzka-Fabijan A | 0-1 | |||
37830256 | Beyond ChatGPT: What does GPT-4 add to healthcare? The dawn of a new era. | 2,023 | Cardiology journal | Over the past few years, artificial intelligence (AI) has significantly improved healthcare. Once the stuff of science fiction, AI is now widely used, even in our daily lives - often without us thinking about it. All healthcare professionals - especially executives and medical doctors - need to understand the capabilit... | Wojcik S; Rulkiewicz A; Pruszczyk P; Lisik W; Pobozy M; Domienik-Karlowicz J | 10 | |||
37726551 | Using ChatGPT to predict the future of personalized medicine. | 2,023 | The pharmacogenomics journal | Personalized medicine is a novel frontier in health care that is based on each person's unique genetic makeup. It represents an exciting opportunity to improve the future of individualized health care for all individuals. Pharmacogenomics, as the main part of personalized medicine, aims to optimize and create a more ta... | Patrinos GP; Sarhangi N; Sarrami B; Khodayari N; Larijani B; Hasanzad M | 0-1 | |||
40200464 | Minimizing STOPP and Beers Criteria Risks in PIM Treatments Using PM-TOM and ChatGPT: A Case Study. | 2,025 | Studies in health technology and informatics | PM-TOM (Personalized Medicine-Therapy Optimization Method) is a clinical decision-support tool designed to optimize polypharmacy treatments by minimizing their adverse drug reactions (ADRs) caused by individual drugs or drug interactions (DDIs, DCIs, DFIs, DGIs), along with the risks identified by the STOPP and Beers c... | Kulenovic A; Lagumdzija-Kulenovic A | 10 | |||
39319818 | ChatGPT's Role in Improving Education Among Patients Seeking Emergency Medical Treatment. | 2,024 | The western journal of emergency medicine | Providing appropriate patient education during a medical encounter remains an important area for improvement across healthcare settings. Personalized resources can offer an impactful way to improve patient understanding and satisfaction during or after a healthcare visit. ChatGPT is a novel chatbot-computer program des... | Halaseh FF; Yang JS; Danza CN; Halaseh R; Spiegelman L | 0-1 | |||
37704461 | Battle of the (Chat)Bots: Comparing Large Language Models to Practice Guidelines for Transfusion-Associated Graft-Versus-Host Disease Prevention. | 2,023 | Transfusion medicine reviews | Published guidelines and clinical practices vary when defining indications for irradiation of blood components for the prevention of transfusion-associated graft-versus-host disease (TA-GVHD). This study assessed irradiation indication lists generated by multiple artificial intelligence (AI) programs, or chatbots, and ... | Stephens LD; Jacobs JW; Adkins BD; Booth GS | 43 | |||
37885556 | Bias and Inaccuracy in AI Chatbot Ophthalmologist Recommendations. | 2,023 | Cureus | PURPOSE AND DESIGN: To evaluate the accuracy and bias of ophthalmologist recommendations made by three AI chatbots, namely ChatGPT 3.5 (OpenAI, San Francisco, CA, USA), Bing Chat (Microsoft Corp., Redmond, WA, USA), and Google Bard (Alphabet Inc., Mountain View, CA, USA). This study analyzed chatbot recommendations for... | Oca MC; Meller L; Wilson K; Parikh AO; McCoy A; Chang J; Sudharshan R; Gupta S; Zhang-Nunes S | 43 | |||
39347335 | Accuracy and Readability of Artificial Intelligence Chatbot Responses to Vasectomy-Related Questions: Public Beware. | 2,024 | Cureus | Purpose Artificial intelligence (AI) has rapidly gained popularity with the growth of ChatGPT (OpenAI, San Francisco, USA) and other large-language model chatbots, and these programs have tremendous potential to impact medicine. One important area of consequence in medicine and public health is that patients may use th... | Carlson JA; Cheng RZ; Lange A; Nagalakshmi N; Rabets J; Shah T; Sindhwani P | 43 | |||
39469383 | Evaluating Large Language Models in Dental Anesthesiology: A Comparative Analysis of ChatGPT-4, Claude 3 Opus, and Gemini 1.0 on the Japanese Dental Society of Anesthesiology Board Certification Exam. | 2,024 | Cureus | Purpose Large language models (LLMs) are increasingly employed across various fields, including medicine and dentistry. In the field of dental anesthesiology, LLM is expected to enhance the efficiency of information gathering, patient outcomes, and education. This study evaluates the performance of different LLMs in an... | Fujimoto M; Kuroda H; Katayama T; Yamaguchi A; Katagiri N; Kagawa K; Tsukimoto S; Nakano A; Imaizumi U; Sato-Boku A; Kishimoto N; Itamiya T; Kido K; Sanuki T | 21 |
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