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37561097 | Examining Real-World Medication Consultations and Drug-Herb Interactions: ChatGPT Performance Evaluation. | 2,023 | JMIR medical education | BACKGROUND: Since OpenAI released ChatGPT, with its strong capability in handling natural tasks and its user-friendly interface, it has garnered significant attention. OBJECTIVE: A prospective analysis is required to evaluate the accuracy and appropriateness of medication consultation responses generated by ChatGPT. ME... | Hsu HY; Hsu KC; Hou SY; Wu CL; Hsieh YW; Cheng YD | 10 | |||
37456381 | Snakebite Advice and Counseling From Artificial Intelligence: An Acute Venomous Snakebite Consultation With ChatGPT. | 2,023 | Cureus | BACKGROUND: Snakebites, particularly from venomous species, present a significant global public health challenge. Access to accurate and timely information regarding snakebite prevention, recognition, and management is crucial for minimizing morbidity and mortality. Artificial intelligence (AI) language models, such as... | Altamimi I; Altamimi A; Alhumimidi AS; Altamimi A; Temsah MH | 0-1 | |||
40393017 | Assessing ChatGPT's Capability as a New Age Standardized Patient: Qualitative Study. | 2,025 | JMIR medical education | BACKGROUND: Standardized patients (SPs) have been crucial in medical education, offering realistic patient interactions to students. Despite their benefits, SP training is resource-intensive and access can be limited. Advances in artificial intelligence (AI), particularly with large language models such as ChatGPT, pre... | Cross J; Kayalackakom T; Robinson RE; Vaughans A; Sebastian R; Hood R; Lewis C; Devaraju S; Honnavar P; Naik S; Joseph J; Anand N; Mohammed A; Johnson A; Cohen E; Adeniji T; Nnenna Nnaji A; George JE | 10 | |||
37371718 | PRISMA Systematic Literature Review, including with Meta-Analysis vs. Chatbot/GPT (AI) regarding Current Scientific Data on the Main Effects of the Calf Blood Deproteinized Hemoderivative Medicine (Actovegin) in Ischemic Stroke. | 2,023 | Biomedicines | BACKGROUND: Stroke is a significant public health problem and a leading cause of death and long-term disability worldwide. Several treatments for ischemic stroke have been developed, but these treatments have limited effectiveness. One potential treatment for this condition is Actovegin((R))/AODEJIN, a calf blood depro... | Anghelescu A; Firan FC; Onose G; Munteanu C; Trandafir AI; Ciobanu I; Gheorghita S; Ciobanu V | 10 | |||
38449683 | Exploring the proficiency of ChatGPT-4: An evaluation of its performance in the Taiwan advanced medical licensing examination. | 2,024 | Digital health | BACKGROUND: Taiwan is well-known for its quality healthcare system. The country's medical licensing exams offer a way to evaluate ChatGPT's medical proficiency. METHODS: We analyzed exam data from February 2022, July 2022, February 2023, and July 2033. Each exam included four papers with 80 single-choice questions, gro... | Lin SY; Chan PK; Hsu WH; Kao CH | 21 | |||
39118469 | Assessing the Ability of a Large Language Model to Score Free-Text Medical Student Clinical Notes: Quantitative Study. | 2,024 | JMIR medical education | BACKGROUND: Teaching medical students the skills required to acquire, interpret, apply, and communicate clinical information is an integral part of medical education. A crucial aspect of this process involves providing students with feedback regarding the quality of their free-text clinical notes. OBJECTIVE: The goal o... | Burke HB; Hoang A; Lopreiato JO; King H; Hemmer P; Montgomery M; Gagarin V | 21 | |||
39388702 | Navigating Nephrology's Decline Through a GPT-4 Analysis of Internal Medicine Specialties in the United States: Qualitative Study. | 2,024 | JMIR medical education | BACKGROUND: The 2024 Nephrology fellowship match data show the declining interest in nephrology in the United States, with an 11% drop in candidates and a mere 66% (321/488) of positions filled. OBJECTIVE: The study aims to discern the factors influencing this trend using ChatGPT, a leading chatbot model, for insights ... | Miao J; Thongprayoon C; Garcia Valencia O; Craici IM; Cheungpasitporn W | 10 | |||
39050145 | Assessing accuracy of ChatGPT in response to questions from day to day pharmaceutical care in hospitals. | 2,024 | Exploratory research in clinical and social pharmacy | BACKGROUND: The advent of Large Language Models (LLMs) such as ChatGPT introduces opportunities within the medical field. Nonetheless, use of LLM poses a risk when healthcare practitioners and patients present clinical questions to these programs without a comprehensive understanding of its suitability for clinical con... | van Nuland M; Lobbezoo AH; van de Garde EMW; Herbrink M; van Heijl I; Bognar T; Houwen JPA; Dekens M; Wannet D; Egberts T; van der Linden PD | 10 | |||
39430693 | Assessing AI efficacy in medical knowledge tests: A study using Taiwan's internal medicine exam questions from 2020 to 2023. | 2,024 | Digital health | BACKGROUND: The aim of this study is to evaluate the ability of generative artificial intelligence (AI) models to handle specialized medical knowledge and problem-solving in a formal examination context. METHODS: This research utilized internal medicine exam questions provided by the Taiwan Internal Medicine Society fr... | Lin SY; Hsu YY; Ju SW; Yeh PC; Hsu WH; Kao CH | 21 | |||
38797622 | ChatGPT performance on radiation technologist and therapist entry to practice exams. | 2,024 | Journal of medical imaging and radiation sciences | BACKGROUND: The aim of this study was to describe the proficiency of ChatGPT (GPT-4) on certification style exams from the Canadian Association of Medical Radiation Technologists (CAMRT), and describe its performance across multiple exam attempts. METHODS: ChatGPT was prompted with questions from CAMRT practice exams i... | Duggan R; Tsuruda KM | 21 | |||
37549788 | Can ChatGPT pass the thoracic surgery exam? | 2,023 | The American journal of the medical sciences | BACKGROUND: The capacity of ChatGPT in academic environments and medical exams is being discovered more and more every day. In this study, we tested the success of ChatGPT on Turkish-language thoracic surgery exam questions. METHODS: ChatGPT was provided with a total of 105 questions divided into seven distinct groups,... | Gencer A; Aydin S | 21 | |||
40211256 | Evaluating the agreement between ChatGPT-4 and validated questionnaires in screening for anxiety and depression in college students: a cross-sectional study. | 2,025 | BMC psychiatry | BACKGROUND: The Chat Generative Pre-trained Transformer (ChatGPT), an artificial intelligence-based web application, has demonstrated substantial potential across various knowledge domains, particularly in medicine. This cross-sectional study assessed the validity and possible usefulness of the ChatGPT-4 in assessing a... | Liu J; Gu J; Tong M; Yue Y; Qiu Y; Zeng L; Yu Y; Yang F; Zhao S | 0-1 | |||
40393915 | Evaluating the Agreement Between ChatGPT-4 and Validated Mental Health Scales in Older Adults: A Cross-Sectional Study. | 2,025 | The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry | BACKGROUND: The chat generative pretrained transformer (ChatGPT), an artificial intelligence-based web application, has demonstrated substantial potential across various knowledge domains, particularly in medicine. This cross-sectional study assessed the validity and possible usefulness of ChatGPT-4 in assessing mental... | Liu J; Gu J; Tong M; Yue Y; Qiu Y; Zeng L; Yu Y; Yang F | 0-1 | |||
39139744 | Understanding How ChatGPT May Become a Clinical Administrative Tool Through an Investigation on the Ability to Answer Common Patient Questions Concerning Ulnar Collateral Ligament Injuries. | 2,024 | Orthopaedic journal of sports medicine | BACKGROUND: The consumer availability and automated response functions of chat generator pretrained transformer (ChatGPT-4), a large language model, poise this application to be utilized for patient health queries and may have a role in serving as an adjunct to minimize administrative and clinical burden. PURPOSE: To e... | Varady NH; Lu AZ; Mazzucco M; Dines JS; Altchek DW; Williams RJ 3rd; Kunze KN | 32 | |||
37609022 | ChatGPT-4: Transforming Medical Education and Addressing Clinical Exposure Challenges in the Post-pandemic Era. | 2,023 | Indian journal of orthopaedics | BACKGROUND: The COVID-19 pandemic has affected medical education, constraining clinical exposure and posing unprecedented challenges for students and junior doctors. This research explores the potential of artificial intelligence (AI), specifically the ChatGPT-4 language model, to transform medical education and addres... | Lower K; Seth I; Lim B; Seth N | 32 | |||
39923067 | AI versus human-generated multiple-choice questions for medical education: a cohort study in a high-stakes examination. | 2,025 | BMC medical education | BACKGROUND: The creation of high-quality multiple-choice questions (MCQs) is essential for medical education assessments but is resource-intensive and time-consuming when done by human experts. Large language models (LLMs) like ChatGPT-4o offer a promising alternative, but their efficacy remains unclear, particularly i... | Law AK; So J; Lui CT; Choi YF; Cheung KH; Kei-Ching Hung K; Graham CA | 21 | |||
38686550 | Exploring the Performance of ChatGPT Versions 3.5, 4, and 4 With Vision in the Chilean Medical Licensing Examination: Observational Study. | 2,024 | JMIR medical education | BACKGROUND: The deployment of OpenAI's ChatGPT-3.5 and its subsequent versions, ChatGPT-4 and ChatGPT-4 With Vision (4V; also known as "GPT-4 Turbo With Vision"), has notably influenced the medical field. Having demonstrated remarkable performance in medical examinations globally, these models show potential for educat... | Rojas M; Rojas M; Burgess V; Toro-Perez J; Salehi S | 21 | |||
37812468 | ChatGPT-Generated Differential Diagnosis Lists for Complex Case-Derived Clinical Vignettes: Diagnostic Accuracy Evaluation. | 2,023 | JMIR medical informatics | BACKGROUND: The diagnostic accuracy of differential diagnoses generated by artificial intelligence chatbots, including ChatGPT models, for complex clinical vignettes derived from general internal medicine (GIM) department case reports is unknown. OBJECTIVE: This study aims to evaluate the accuracy of the differential d... | Hirosawa T; Kawamura R; Harada Y; Mizuta K; Tokumasu K; Kaji Y; Suzuki T; Shimizu T | 10 | |||
39319150 | Assessing the ChatGPT aptitude: A competent and effective Dermatology doctor? | 2,024 | Heliyon | BACKGROUND: The efficacy and adeptness of ChatGPT 3.5 and ChatGPT 4.0 in the precise diagnosis and management of conditions like atopic dermatitis and Autoimmune blistering skin diseases (AIBD) remain to be elucidated. So this study examined the accuracy and effectiveness of the ChatGPT responses related to understandi... | Lian C; Yuan X; Chokkakula S; Wang G; Song B; Wang Z; Fan G; Yin C | 0-1 | |||
39241674 | Accuracy assessment of ChatGPT responses to frequently asked questions regarding anterior cruciate ligament surgery. | 2,024 | The Knee | BACKGROUND: The emergence of artificial intelligence (AI) has allowed users to have access to large sources of information in a chat-like manner. Thereby, we sought to evaluate ChatGPT-4 response's accuracy to the 10 patient most frequently asked questions (FAQs) regarding anterior cruciate ligament (ACL) surgery. METH... | Villarreal-Espinosa JB; Berreta RS; Allende F; Garcia JR; Ayala S; Familiari F; Chahla J | 32 | |||
37424120 | Pediatrics in Artificial Intelligence Era: A Systematic Review on Challenges, Opportunities, and Explainability. | 2,023 | Indian pediatrics | BACKGROUND: The emergence of artificial intelligence (AI) tools such as ChatGPT and Bard is disrupting a broad swathe of fields, including medicine. In pediatric medicine, AI is also increasingly being used across multiple subspecialties. However, the practical application of AI still faces a number of key challenges. ... | Balla Y; Tirunagari S; Windridge D | 10 | |||
38116306 | ChatGPT and Clinical Training: Perception, Concerns, and Practice of Pharm-D Students. | 2,023 | Journal of multidisciplinary healthcare | BACKGROUND: The emergence of Chat-Generative Pre-trained Transformer (ChatGPT) by OpenAI has revolutionized AI technology, demonstrating significant potential in healthcare and pharmaceutical education, yet its real-world applicability in clinical training warrants further investigation. METHODS: A cross-sectional stud... | Zawiah M; Al-Ashwal FY; Gharaibeh L; Abu Farha R; Alzoubi KH; Abu Hammour K; Qasim QA; Abrah F | 10 | |||
39515421 | Evaluating a generative artificial intelligence accuracy in providing medication instructions from smartphone images. | 2,025 | Journal of the American Pharmacists Association : JAPhA | BACKGROUND: The Food and Drug Administration mandates patient labeling materials like the Medication Guide (MG) and Instructions for Use (IFU) to support appropriate medication use. However, challenges such as low health literacy and difficulties navigating these materials may lead to incorrect medication usage, result... | Yassin Y; Nguyen T; Panchal K; Getchell K; Aungst T | 10 | |||
39322837 | Advancement of Generative Pre-trained Transformer Chatbots in Answering Clinical Questions in the Practical Rhinoplasty Guideline. | 2,025 | Aesthetic plastic surgery | BACKGROUND: The Generative Pre-trained Transformer (GPT) series, which includes ChatGPT, is an artificial large language model that provides human-like text dialogue. This study aimed to evaluate the performance of artificial intelligence chatbots in answering clinical questions based on practical rhinoplasty guideline... | Shiraishi M; Tsuruda S; Tomioka Y; Chang J; Hori A; Ishii S; Fujinaka R; Ando T; Ohba J; Okazaki M | 32 | |||
40116759 | Performance of Plug-In Augmented ChatGPT and Its Ability to Quantify Uncertainty: Simulation Study on the German Medical Board Examination. | 2,025 | JMIR medical education | BACKGROUND: The GPT-4 is a large language model (LLM) trained and fine-tuned on an extensive dataset. After the public release of its predecessor in November 2022, the use of LLMs has seen a significant spike in interest, and a multitude of potential use cases have been proposed. In parallel, however, important limitat... | Madrid J; Diehl P; Selig M; Rolauffs B; Hans FP; Busch HJ; Scheef T; Benning L | 21 | |||
38037784 | Exploring artificial intelligence in the Nigerian medical educational space: An online cross-sectional study of perceptions, risks and benefits among students and lecturers from ten universities. | 2,023 | The Nigerian postgraduate medical journal | BACKGROUND: The impact of artificial intelligence (AI) has been compared to that of the Internet and printing, evoking both apprehension and anticipation in an uncertain world. OBJECTIVE: This study aimed to explore the perceptions of medical students and faculty members from ten universities across Nigeria regarding A... | Oluwadiya KS; Adeoti AO; Agodirin SO; Nottidge TE; Usman MI; Gali MB; Onyemaechi NO; Ramat AM; Adedire A; Zakari LY | 10 | |||
39883487 | Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study. | 2,025 | Journal of medical Internet research | BACKGROUND: The implementation of large language models (LLMs), such as BART (Bidirectional and Auto-Regressive Transformers) and GPT-4, has revolutionized the extraction of insights from unstructured text. These advancements have expanded into health care, allowing analysis of social media for public health insights. ... | Trevena W; Zhong X; Alvarado M; Semenov A; Oktay A; Devlin D; Gohil AY; Chittimouju SH | 10 | |||
39913914 | ChatGPT-4 Performance on German Continuing Medical Education-Friend or Foe (Trick or Treat)? Protocol for a Randomized Controlled Trial. | 2,025 | JMIR research protocols | BACKGROUND: The increasing development and spread of artificial and assistive intelligence is opening up new areas of application not only in applied medicine but also in related fields such as continuing medical education (CME), which is part of the mandatory training program for medical doctors in Germany. This study... | Burisch C; Bellary A; Breuckmann F; Ehlers J; Thal SC; Sellmann T; Godde D | 21 | |||
39966152 | Assessing the Informational Value of Large Language Models Responses in Aesthetic Surgery: A Comparative Analysis with Expert Opinions. | 2,025 | Aesthetic plastic surgery | BACKGROUND: The increasing popularity of Large Language Models (LLMs) in various healthcare settings has raised questions about their ability to provide accurate and reliable information. This study aimed to evaluate the informational value of Large Language Models responses in aesthetic plastic surgery by comparing th... | Grippaudo FR; Jeri M; Pezzella M; Orlando M; Ribuffo D | 32 | |||
39752214 | ChatGPT's Attitude, Knowledge, and Clinical Application in Geriatrics Practice and Education: Exploratory Observational Study. | 2,025 | JMIR formative research | BACKGROUND: The increasing use of ChatGPT in clinical practice and medical education necessitates the evaluation of its reliability, particularly in geriatrics. OBJECTIVE: This study aimed to evaluate ChatGPT's trustworthiness in geriatrics through 3 distinct approaches: evaluating ChatGPT's geriatrics attitude, knowle... | Cheng HY | 43 | |||
38882956 | Does the Information Quality of ChatGPT Meet the Requirements of Orthopedics and Trauma Surgery? | 2,024 | Cureus | BACKGROUND: The integration of artificial intelligence (AI) in medicine, particularly through AI-based language models like ChatGPT, offers a promising avenue for enhancing patient education and healthcare delivery. This study aims to evaluate the quality of medical information provided by Chat Generative Pre-trained T... | Kasapovic A; Ali T; Babasiz M; Bojko J; Gathen M; Kaczmarczyk R; Roos J | 32 | |||
38506920 | Incorporating ChatGPT in Medical Informatics Education: Mixed Methods Study on Student Perceptions and Experiential Integration Proposals. | 2,024 | JMIR medical education | BACKGROUND: The integration of artificial intelligence (AI) technologies, such as ChatGPT, in the educational landscape has the potential to enhance the learning experience of medical informatics students and prepare them for using AI in professional settings. The incorporation of AI in classes aims to develop critical... | Magalhaes Araujo S; Cruz-Correia R | 10 | |||
40106227 | Performance of ChatGPT-4 on Taiwanese Traditional Chinese Medicine Licensing Examinations: Cross-Sectional Study. | 2,025 | JMIR medical education | BACKGROUND: The integration of artificial intelligence (AI), notably ChatGPT, into medical education, has shown promising results in various medical fields. Nevertheless, its efficacy in traditional Chinese medicine (TCM) examinations remains understudied. OBJECTIVE: This study aims to (1) assess the performance of Cha... | Tseng LW; Lu YC; Tseng LC; Chen YC; Chen HY | 21 | |||
39760952 | Artificial Intelligence in Physical Therapy: Evaluating ChatGPT's Role in Clinical Decision Support for Musculoskeletal Care. | 2,025 | Annals of biomedical engineering | BACKGROUND: The integration of artificial intelligence into medicine has attracted increasing attention in recent years. ChatGPT has emerged as a promising tool for delivering evidence-based recommendations in various clinical domains. However, the application of ChatGPT to physical therapy for musculoskeletal conditio... | Hao J; Yao Z; Tang Y; Remis A; Wu K; Yu X | 32 | |||
39013110 | ChatGPT vs Medical Professional: Analyzing Responses to Laboratory Medicine Questions on Social Media. | 2,024 | Clinical chemistry | BACKGROUND: The integration of ChatGPT, a large language model (LLM) developed by OpenAI, into healthcare has sparked significant interest due to its potential to enhance patient care and medical education. With the increasing trend of patients accessing laboratory results online, there is a pressing need to evaluate t... | Girton MR; Greene DN; Messerlian G; Keren DF; Yu M | 0-1 | |||
39844924 | Large Language Models in Healthcare: A Bibliometric Analysis and Examination of Research Trends. | 2,025 | Journal of multidisciplinary healthcare | BACKGROUND: The integration of large language models (LLMs) in healthcare has generated significant interest due to their potential to improve diagnostic accuracy, personalization of treatment, and patient care efficiency. OBJECTIVE: This study aims to conduct a comprehensive bibliometric analysis to identify current r... | Gencer G; Gencer K | 10 | |||
38414074 | Challenges and barriers of using large language models (LLM) such as ChatGPT for diagnostic medicine with a focus on digital pathology - a recent scoping review. | 2,024 | Diagnostic pathology | BACKGROUND: The integration of large language models (LLMs) like ChatGPT in diagnostic medicine, with a focus on digital pathology, has garnered significant attention. However, understanding the challenges and barriers associated with the use of LLMs in this context is crucial for their successful implementation. METHO... | Ullah E; Parwani A; Baig MM; Singh R | 10 | |||
39851275 | The Potential Clinical Utility of the Customized Large Language Model in Gastroenterology: A Pilot Study. | 2,024 | Bioengineering (Basel, Switzerland) | Background: The large language model (LLM) has the potential to be applied to clinical practice. However, there has been scarce study on this in the field of gastroenterology. Aim: This study explores the potential clinical utility of two LLMs in the field of gastroenterology: a customized GPT model and a conventional ... | Gong EJ; Bang CS; Lee JJ; Park J; Kim E; Kim S; Kimm M; Choi SH | 21 | |||
39593074 | Qualitative metrics from the biomedical literature for evaluating large language models in clinical decision-making: a narrative review. | 2,024 | BMC medical informatics and decision making | BACKGROUND: The large language models (LLMs), most notably ChatGPT, released since November 30, 2022, have prompted shifting attention to their use in medicine, particularly for supporting clinical decision-making. However, there is little consensus in the medical community on how LLM performance in clinical contexts s... | Ho CN; Tian T; Ayers AT; Aaron RE; Phillips V; Wolf RM; Mathioudakis N; Dai T; Klonoff DC | 10 | |||
40348690 | Can Gpt-4o Accurately Diagnose Trauma X-Rays? A Comparative Study with Expert Evaluations. | 2,025 | The Journal of emergency medicine | BACKGROUND: The latest artificial intelligence (AI) model, GPT-4o, introduced by OpenAI, can process visual data, presenting a novel opportunity for radiographic evaluation in trauma patients. OBJECTIVE: This study aimed to assess the efficacy of GPT-4o in interpreting radiographs for traumatic bone pathologies and to ... | Ozturk A; Gunay S; Ates S; Yigit Yavuz Yigit Y | 0-1 | |||
39509695 | Applications and Concerns of ChatGPT and Other Conversational Large Language Models in Health Care: Systematic Review. | 2,024 | Journal of medical Internet research | BACKGROUND: The launch of ChatGPT (OpenAI) in November 2022 attracted public attention and academic interest to large language models (LLMs), facilitating the emergence of many other innovative LLMs. These LLMs have been applied in various fields, including health care. Numerous studies have since been conducted regard... | Wang L; Wan Z; Ni C; Song Q; Li Y; Clayton E; Malin B; Yin Z | 10 | |||
39402411 | Comparing Scoring Consistency of Large Language Models with Faculty for Formative Assessments in Medical Education. | 2,025 | Journal of general internal medicine | BACKGROUND: The Liaison Committee on Medical Education requires that medical students receive individualized feedback on their self-directed learning skills. Pre-clinical students are asked to complete multiple spaced critical appraisal assignments. However, the individual feedback requires significant faculty time. As... | Sreedhar R; Chang L; Gangopadhyaya A; Shiels PW; Loza J; Chi E; Gabel E; Park YS | 21 | |||
39507012 | Performance of ChatGPT on prehospital acute ischemic stroke and large vessel occlusion (LVO) stroke screening. | 2,024 | Digital health | BACKGROUND: The management of acute ischemic stroke (AIS) is time-sensitive, yet prehospital delays remain prevalent. The application of large language models (LLMs) for medical text analysis may play a potential role in clinical decision support. We assess the performance of LLMs on prehospital AIS and large vessel oc... | Wang X; Ye S; Feng J; Feng K; Yang H; Li H | 10 | |||
39731895 | Evaluating LLM-based generative AI tools in emergency triage: A comparative study of ChatGPT Plus, Copilot Pro, and triage nurses. | 2,025 | The American journal of emergency medicine | BACKGROUND: The number of emergency department (ED) visits has been on steady increase globally. Artificial Intelligence (AI) technologies, including Large Language Model (LLMs)-based generative AI models, have shown promise in improving triage accuracy. This study evaluates the performance of ChatGPT and Copilot in tr... | Arslan B; Nuhoglu C; Satici MO; Altinbilek E | 10 | |||
38915174 | Evaluation of ChatGPT-Generated Differential Diagnosis for Common Diseases With Atypical Presentation: Descriptive Research. | 2,024 | JMIR medical education | BACKGROUND: The persistence of diagnostic errors, despite advances in medical knowledge and diagnostics, highlights the importance of understanding atypical disease presentations and their contribution to mortality and morbidity. Artificial intelligence (AI), particularly generative pre-trained transformers like GPT-4,... | Shikino K; Shimizu T; Otsuka Y; Tago M; Takahashi H; Watari T; Sasaki Y; Iizuka G; Tamura H; Nakashima K; Kunitomo K; Suzuki M; Aoyama S; Kosaka S; Kawahigashi T; Matsumoto T; Orihara F; Morikawa T; Nishizawa T; Hoshina Y; Yamamoto Y; Matsuo Y; Unoki Y; Kimura H; Tokushima M; Watanuki S; Saito T; Otsuka F; Tokuda Y | 10 | |||
38329802 | Comparison of the Performance of GPT-3.5 and GPT-4 With That of Medical Students on the Written German Medical Licensing Examination: Observational Study. | 2,024 | JMIR medical education | BACKGROUND: The potential of artificial intelligence (AI)-based large language models, such as ChatGPT, has gained significant attention in the medical field. This enthusiasm is driven not only by recent breakthroughs and improved accessibility, but also by the prospect of democratizing medical knowledge and promoting ... | Meyer A; Riese J; Streichert T | 21 | |||
40158187 | Generating learning guides for medical education with LLMs and statistical analysis of test results. | 2,025 | BMC medical education | BACKGROUND: The Progress Test Medizin (PTM) is a formative test for medical students issued twice a year by the Charite-Universitatsmedizin Berlin. The PTM provides a numerical feedback based on a global view of the strengths and weaknesses of students. This feedback can benefit from more fine-grained information, pinp... | Rosello Atanet I; Tomova M; Sieg M; Sehy V; Mader P; Marz M | 21 | |||
40008118 | Evaluating the Use of Artificial Intelligence as a Study Tool for Preclinical Medical School Exams. | 2,025 | Journal of medical education and curricular development | BACKGROUND: The purpose of this 2024 study was to determine if there is an association between the usage of artificial intelligence (AI) to study and exam scores of medical students in the preclinical phase of their schooling. METHODS: We created and distributed a survey via an unbiased third-party to students in the c... | Sakelaris PG; Novotny KV; Borvick MS; Lagasca GG; Simanton EG | 10 | |||
39221376 | Comparison of the Performance of Artificial Intelligence Versus Medical Professionals in the Polish Final Medical Examination. | 2,024 | Cureus | BACKGROUND: The rapid development of artificial intelligence (AI) technologies like OpenAI's Generative Pretrained Transformer (GPT), particularly ChatGPT, has shown promising applications in various fields, including medicine. This study evaluates ChatGPT's performance on the Polish Final Medical Examination (LEK), co... | Jaworski A; Jasinski D; Jaworski W; Hop A; Janek A; Slawinska B; Konieczniak L; Rzepka M; Jung M; Syslo O; Jarzabek V; Blecha Z; Harazinski K; Jasinska N | 21 | |||
39042876 | Appraisal of ChatGPT's Aptitude for Medical Education: Comparative Analysis With Third-Year Medical Students in a Pulmonology Examination. | 2,024 | JMIR medical education | BACKGROUND: The rapid evolution of ChatGPT has generated substantial interest and led to extensive discussions in both public and academic domains, particularly in the context of medical education. OBJECTIVE: This study aimed to evaluate ChatGPT's performance in a pulmonology examination through a comparative analysis ... | Cherif H; Moussa C; Missaoui AM; Salouage I; Mokaddem S; Dhahri B | 21 | |||
39348189 | Accuracy of a Commercial Large Language Model (ChatGPT) to Perform Disaster Triage of Simulated Patients Using the Simple Triage and Rapid Treatment (START) Protocol: Gage Repeatability and Reproducibility Study. | 2,024 | Journal of medical Internet research | BACKGROUND: The release of ChatGPT (OpenAI) in November 2022 drastically reduced the barrier to using artificial intelligence by allowing a simple web-based text interface to a large language model (LLM). One use case where ChatGPT could be useful is in triaging patients at the site of a disaster using the Simple Triag... | Franc JM; Hertelendy AJ; Cheng L; Hata R; Verde M | 10 | |||
38055323 | Performance Comparison of ChatGPT-4 and Japanese Medical Residents in the General Medicine In-Training Examination: Comparison Study. | 2,023 | JMIR medical education | BACKGROUND: The reliability of GPT-4, a state-of-the-art expansive language model specializing in clinical reasoning and medical knowledge, remains largely unverified across non-English languages. OBJECTIVE: This study aims to compare fundamental clinical competencies between Japanese residents and GPT-4 by using the G... | Watari T; Takagi S; Sakaguchi K; Nishizaki Y; Shimizu T; Yamamoto Y; Tokuda Y | 21 | |||
38295466 | Assessing the precision of artificial intelligence in ED triage decisions: Insights from a study with ChatGPT. | 2,024 | The American journal of emergency medicine | BACKGROUND: The rise in emergency department presentations globally poses challenges for efficient patient management. To address this, various strategies aim to expedite patient management. Artificial intelligence's (AI) consistent performance and rapid data interpretation extend its healthcare applications, especiall... | Pasli S; Sahin AS; Beser MF; Topcuoglu H; Yadigaroglu M; Imamoglu M | 10 | |||
38472675 | Enhanced Artificial Intelligence Strategies in Renal Oncology: Iterative Optimization and Comparative Analysis of GPT 3.5 Versus 4.0. | 2,024 | Annals of surgical oncology | BACKGROUND: The rise of artificial intelligence (AI) in medicine has revealed the potential of ChatGPT as a pivotal tool in medical diagnosis and treatment. This study assesses the efficacy of ChatGPT versions 3.5 and 4.0 in addressing renal cell carcinoma (RCC) clinical inquiries. Notably, fine-tuning and iterative op... | Liang R; Zhao A; Peng L; Xu X; Zhong J; Wu F; Yi F; Zhang S; Wu S; Hou J | 0-1 | |||
39610054 | Impact of artificial intelligence in managing musculoskeletal pathologies in physiatry: a qualitative observational study evaluating the potential use of ChatGPT versus Copilot for patient information and clinical advice on low back pain. | 2,025 | Journal of Yeungnam medical science | BACKGROUND: The self-management of low back pain (LBP) through patient information interventions offers significant benefits in terms of cost, reduced work absenteeism, and overall healthcare utilization. Using a large language model (LLM), such as ChatGPT (OpenAI) or Copilot (Microsoft), could potentially enhance thes... | Ah-Yan C; Boissonnault E; Boudier-Reveret M; Mares C | 32 | |||
38180782 | Pure Wisdom or Potemkin Villages? A Comparison of ChatGPT 3.5 and ChatGPT 4 on USMLE Step 3 Style Questions: Quantitative Analysis. | 2,024 | JMIR medical education | BACKGROUND: The United States Medical Licensing Examination (USMLE) has been critical in medical education since 1992, testing various aspects of a medical student's knowledge and skills through different steps, based on their training level. Artificial intelligence (AI) tools, including chatbots like ChatGPT, are emer... | Knoedler L; Alfertshofer M; Knoedler S; Hoch CC; Funk PF; Cotofana S; Maheta B; Frank K; Brebant V; Prantl L; Lamby P | 21 | |||
38823007 | Enhancing readability of USFDA patient communications through large language models: a proof-of-concept study. | 2,024 | Expert review of clinical pharmacology | BACKGROUND: The US Food and Drug Administration (USFDA) communicates new drug safety concerns through drug safety communications (DSCs) and medication guides (MGs), which often challenge patients with average reading abilities due to their complexity. This study assesses whether large language models (LLMs) can enhance... | Sridharan K; Sivaramakrishnan G | 10 | |||
40093710 | Advancing personalized medicine in digital health: The role of artificial intelligence in enhancing clinical interpretation of 24-h ambulatory blood pressure monitoring. | 2,025 | Digital health | Background: The use of artificial intelligence (AI) for interpreting ambulatory blood pressure monitoring (ABPM) data is gaining traction in clinical practice. Evaluating the accuracy of AI models, like ChatGPT 4.0, in clinical settings can inform their integration into healthcare processes. However, limited research h... | Alam SF; Thongprayoon C; Miao J; Pham JH; Sheikh MS; Garcia Valencia OA; Schwartz GL; Craici IM; Gonzalez Suarez ML; Cheungpasitporn W | 10 | |||
38180787 | Artificial Intelligence in Medicine: Cross-Sectional Study Among Medical Students on Application, Education, and Ethical Aspects. | 2,024 | JMIR medical education | BACKGROUND: The use of artificial intelligence (AI) in medicine not only directly impacts the medical profession but is also increasingly associated with various potential ethical aspects. In addition, the expanding use of AI and AI-based applications such as ChatGPT demands a corresponding shift in medical education t... | Weidener L; Fischer M | 10 | |||
38049066 | Effectiveness of ChatGPT in clinical pharmacy and the role of artificial intelligence in medication therapy management. | 2,024 | Journal of the American Pharmacists Association : JAPhA | BACKGROUND: The use of artificial intelligence (AI) to optimize medication therapy management (MTM) in identifying drug interactions may potentially improve MTM efficiency. ChatGPT, an AI language model, may be applied to identify medication interventions by integrating patient and drug databases. ChatGPT has been show... | Roosan D; Padua P; Khan R; Khan H; Verzosa C; Wu Y | 10 | |||
38789962 | Evaluating the accuracy of Chat Generative Pre-trained Transformer version 4 (ChatGPT-4) responses to United States Food and Drug Administration (FDA) frequently asked questions about dental amalgam. | 2,024 | BMC oral health | BACKGROUND: The use of artificial intelligence in the field of health sciences is becoming widespread. It is known that patients benefit from artificial intelligence applications on various health issues, especially after the pandemic period. One of the most important issues in this regard is the accuracy of the inform... | Buldur M; Sezer B | 32 | |||
40235859 | Evaluating the accuracy of ChatGPT in delivering patient instructions for medications: an exploratory case study. | 2,025 | Frontiers in artificial intelligence | BACKGROUND: The use of ChatGPT in healthcare is still in its early stages; however, it has the potential to become a cornerstone in modern healthcare systems. This study aims to assess the accuracy of output of ChatGPT compared with those of CareNotes((R)) in providing patient instructions for three medications: tirzep... | Abanmy NO; Al-Ghreimil N; Alsabhan JF; Al-Baity H; Aljadeed R | 10 | |||
40023616 | Can ChatGPT-4 perform as a competent physician based on the Chinese critical care examination? | 2,025 | Journal of critical care | BACKGROUND: The use of ChatGPT in medical applications is of increasing interest. However, its efficacy in critical care medicine remains uncertain. This study aims to assess ChatGPT-4's performance in critical care examination, providing insights into its potential as a tool for clinical decision-making. METHODS: A da... | Wang X; Tang J; Feng Y; Tang C; Wang X | 21 | |||
37860071 | Applications of ChatGPT and Large Language Models in Medicine and Health Care: Benefits and Pitfalls. | 2,023 | Federal practitioner : for the health care professionals of the VA, DoD, and PHS | BACKGROUND: The use of large language models like ChatGPT is becoming increasingly popular in health care settings. These artificial intelligence models are trained on vast amounts of data and can be used for various tasks, such as language translation, summarization, and answering questions. OBSERVATIONS: Large langua... | Borkowski AA; Jakey CE; Mastorides SM; Kraus AL; Vidyarthi G; Viswanadhan N; Lezama JL | 10 | |||
38691128 | [ChatGPT for use in technology-enhanced learning in anesthesiology and emergency medicine and potential clinical application of AI language models : Between hype and reality around artificial intelligence in medical use]. | 2,024 | Die Anaesthesiologie | BACKGROUND: The utilization of AI language models in education and academia is currently a subject of research, and applications in clinical settings are also being tested. Studies conducted by various research groups have demonstrated that language models can answer questions related to medical board examinations, and... | Humbsch P; Horn E; Bohm K; Gintrowicz R | 21 | |||
40432855 | Performance of Artificial Intelligence in Addressing Questions Regarding the Management of Pediatric Supracondylar Humerus Fractures. | 2,025 | Journal of the Pediatric Orthopaedic Society of North America | BACKGROUND: The vast accessibility of artificial intelligence (AI) has enabled its utilization in medicine to improve patient education, augment patient-physician communications, support research efforts, and enhance medical student education. However, there is significant concern that these models may provide response... | Milner JD; Quinn MS; Schmitt P; Knebel A; Henstenburg J; Nasreddine A; Boulos AR; Schiller JR; Eberson CP; Cruz AI Jr | 32 | |||
40318209 | Advancements in large language model accuracy for answering physical medicine and rehabilitation board review questions. | 2,025 | PM & R : the journal of injury, function, and rehabilitation | BACKGROUND: There have been significant advances in machine learning and artificial intelligence technology over the past few years, leading to the release of large language models (LLMs) such as ChatGPT. There are many potential applications for LLMs in health care, but it is critical to first determine how accurate L... | Bitterman J; D'Angelo A; Holachek A; Eubanks JE | 21 | |||
39378442 | Assessment of ChatGPT-4 in Family Medicine Board Examinations Using Advanced AI Learning and Analytical Methods: Observational Study. | 2,024 | JMIR medical education | BACKGROUND: This research explores the capabilities of ChatGPT-4 in passing the American Board of Family Medicine (ABFM) Certification Examination. Addressing a gap in existing literature, where earlier artificial intelligence (AI) models showed limitations in medical board examinations, this study evaluates the enhanc... | Goodings AJ; Kajitani S; Chhor A; Albakri A; Pastrak M; Kodancha M; Ives R; Lee YB; Kajitani K | 21 | |||
39238293 | ChatGPT in Clinical Medicine, Urology and Academia: A Review. | 2,024 | Archivos espanoles de urologia | BACKGROUND: This study aims to provide a comprehensive overview of the current literature on the utilisation of ChatGPT in the fields of clinical medicine, urology, and academic medicine, while also addressing the associated ethical challenges and potential risks. METHODS: This narrative review conducted an extensive s... | Tzelves L; Kapriniotis K; Feretzakis G; Katsimperis S; Manolitsis I; Juliebo-Jones P; Pietropaolo A; Tonyali S; Bellos T; Somani B | 0-1 | |||
38928668 | Google Bard and ChatGPT in Orthopedics: Which Is the Better Doctor in Sports Medicine and Pediatric Orthopedics? The Role of AI in Patient Education. | 2,024 | Diagnostics (Basel, Switzerland) | BACKGROUND: This study evaluates the potential of ChatGPT and Google Bard as educational tools for patients in orthopedics, focusing on sports medicine and pediatric orthopedics. The aim is to compare the quality of responses provided by these natural language processing (NLP) models, addressing concerns about the pote... | Giorgino R; Alessandri-Bonetti M; Del Re M; Verdoni F; Peretti GM; Mangiavini L | 32 | |||
38638404 | Evaluating ChatGPT's efficacy in assessing the safety of non-prescription medications and supplements in patients with kidney disease. | 2,024 | Digital health | BACKGROUND: This study investigated the efficacy of ChatGPT-3.5 and ChatGPT-4 in assessing drug safety for patients with kidney diseases, comparing their performance to Micromedex, a well-established drug information source. Despite the perception of non-prescription medications and supplements as safe, risks exist, es... | Sheikh MS; Barreto EF; Miao J; Thongprayoon C; Gregoire JR; Dreesman B; Erickson SB; Craici IM; Cheungpasitporn W | 10 | |||
40083047 | While GPT-3.5 is unable to pass the Physician Licensing Exam in Taiwan, GPT-4 successfully meets the criteria. | 2,025 | Journal of the Chinese Medical Association : JCMA | BACKGROUND: This study investigates the performance of ChatGPT-3.5 and ChatGPT-4 in answering medical questions from Taiwan's Physician Licensing Exam, ranging from basic medical knowledge to specialized clinical topics. It aims to understand these artificial intelligence (AI) models' capabilities in a non-English cont... | Chen TA; Lin KC; Lin MH; Chang HT; Chen YC; Chen TJ | 21 | |||
40273640 | ChatGPT-supported patient triage with voice commands in the emergency department: A prospective multicenter study. | 2,025 | The American journal of emergency medicine | BACKGROUND: Triage aims to prioritize patients according to their medical urgency by accurately evaluating their clinical conditions, managing waiting times efficiently, and improving the overall effectiveness of emergency care. This study aims to assess ChatGPT's performance in patient triage across four emergency dep... | Pasli S; Yadigaroglu M; Kirimli EN; Beser MF; Unutmaz I; Ayhan AO; Karakurt B; Sahin AS; Hicyilmaz HI; Imamoglu M | 10 | |||
38596832 | Using ChatGPT in Psychiatry to Design Script Concordance Tests in Undergraduate Medical Education: Mixed Methods Study. | 2,024 | JMIR medical education | BACKGROUND: Undergraduate medical studies represent a wide range of learning opportunities served in the form of various teaching-learning modalities for medical learners. A clinical scenario is frequently used as a modality, followed by multiple-choice and open-ended questions among other learning and teaching methods... | Hudon A; Kiepura B; Pelletier M; Phan V | 10 | |||
38328046 | A Comprehensive Evaluation of Large Language Models in Mining Gene Interactions and Pathway Knowledge. | 2,024 | bioRxiv : the preprint server for biology | BACKGROUND: Understanding complex biological pathways, including gene-gene interactions and gene regulatory networks, is critical for exploring disease mechanisms and drug development. Manual literature curation of biological pathways is useful but cannot keep up with the exponential growth of the literature. Large-sca... | Azam M; Chen Y; Arowolo MO; Liu H; Popescu M; Xu D | 10 | |||
40274037 | Leveraging natural language processing to elucidate real-world clinical decision-making paradigms: A proof of concept study. | 2,025 | Journal of biomedical informatics | BACKGROUND: Understanding how clinicians arrive at decisions in actual practice settings is vital for advancing personalized, evidence-based care. However, systematic analysis of qualitative decision data poses challenges. METHODS: We analyzed transcribed interviews with Hebrew-speaking clinicians on decision processes... | Alon Y; Naimi E; Levin C; Videl H; Saban M | 0-1 | |||
37830257 | Reshaping medical education: Performance of ChatGPT on a PES medical examination. | 2,024 | Cardiology journal | BACKGROUND: We are currently experiencing a third digital revolution driven by artificial intelligence (AI), and the emergence of new chat generative pre-trained transformer (ChatGPT) represents a significant technological advancement with profound implications for global society, especially in the field of education. ... | Wojcik S; Rulkiewicz A; Pruszczyk P; Lisik W; Pobozy M; Domienik-Karlowicz J | 21 | |||
38564282 | A Comparative Study of Large Language Models, Human Experts, and Expert-Edited Large Language Models to Neuro-Ophthalmology Questions. | 2,025 | Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society | BACKGROUND: While large language models (LLMs) are increasingly used in medicine, their effectiveness compared with human experts remains unclear. This study evaluates the quality and empathy of Expert + AI, human experts, and LLM responses in neuro-ophthalmology. METHODS: This randomized, masked, multicenter cross-sec... | Tailor PD; Dalvin LA; Starr MR; Tajfirouz DA; Chodnicki KD; Brodsky MC; Mansukhani SA; Moss HE; Lai KE; Ko MW; Mackay DD; Di Nome MA; Dumitrascu OM; Pless ML; Eggenberger ER; Chen JJ | 0-1 | |||
39910559 | AI-based medical ethics education: examining the potential of large language models as a tool for virtue cultivation. | 2,025 | BMC medical education | BACKGROUND: With artificial intelligence (AI) increasingly revolutionising medicine, this study critically evaluates the integration of large language models (LLMs), known for advanced text processing and generation capabilities, in medical ethics education, focusing on promoting virtue. Positing LLMs as central to mim... | Okamoto S; Kataoka M; Itano M; Sawai T | 10 | |||
37750374 | GPTZero Performance in Identifying Artificial Intelligence-Generated Medical Texts: A Preliminary Study. | 2,023 | Journal of Korean medical science | BACKGROUND: With emergence of chatbots to help authors with scientific writings, editors should have tools to identify artificial intelligence-generated texts. GPTZero is among the first websites that has sought media attention claiming to differentiate machine-generated from human-written texts. METHODS: Using 20 text... | Habibzadeh F | 10 | |||
38970829 | Comparative outcomes of AI-assisted ChatGPT and face-to-face consultations in infertility patients: a cross-sectional study. | 2,024 | Postgraduate medical journal | BACKGROUND: With the advent of artificial intelligence (AI) in healthcare, digital platforms like ChatGPT offer innovative alternatives to traditional medical consultations. This study seeks to understand the comparative outcomes of AI-assisted ChatGPT consultations and conventional face-to-face interactions among infe... | Cheng S; Xiao Y; Liu L; Sun X | 0-1 | |||
39933171 | Smart Pharmaceutical Monitoring System With Personalized Medication Schedules and Self-Management Programs for Patients With Diabetes: Development and Evaluation Study. | 2,025 | Journal of medical Internet research | BACKGROUND: With the climbing incidence of type 2 diabetes, the health care system is under pressure to manage patients with this condition properly. Particularly, pharmacological therapy constitutes the most fundamental means of controlling blood glucose levels and preventing the progression of complications. However,... | Xiao J; Li M; Cai R; Huang H; Yu H; Huang L; Li J; Yu T; Zhang J; Cheng S | 10 | |||
37115245 | [Artificial intelligence: How will ChatGPT and other AI applications change our everyday medical practice?]. | 2,023 | Medizinische Klinik, Intensivmedizin und Notfallmedizin | BACKGROUND: With the free provision of the chat robot "ChatGPT" by the company OpenAI in November 2022, an application of artificial intelligence (AI) became tangible for everyone. OBJECTIVES: An explanation of the basic functionality of large language models (LLM) is given, followed by a presentation of application op... | Sonntagbauer M; Haar M; Kluge S | 10 | |||
37770637 | Exploring the Potential of ChatGPT-4 in Responding to Common Questions About Abdominoplasty: An AI-Based Case Study of a Plastic Surgery Consultation. | 2,024 | Aesthetic plastic surgery | BACKGROUND: With the increasing integration of artificial intelligence (AI) in health care, AI chatbots like ChatGPT-4 are being used to deliver health information. OBJECTIVES: This study aimed to assess the capability of ChatGPT-4 in answering common questions related to abdominoplasty, evaluating its potential as an ... | Li W; Chen J; Chen F; Liang J; Yu H | 32 | |||
37615692 | [Large language models such as ChatGPT and GPT-4 for patient-centered care in radiology]. | 2,023 | Radiologie (Heidelberg, Germany) | BACKGROUND: With the introduction of ChatGPT in late November 2022, large language models based on artificial intelligence have gained worldwide recognition. These language models are trained on vast amounts of data, enabling them to process complex tasks in seconds and provide detailed, high-level text-based responses... | Fink MA | 10 | |||
39622707 | Evaluating AI Competence in Specialized Medicine: Comparative Analysis of ChatGPT and Neurologists in a Neurology Specialist Examination in Spain. | 2,024 | JMIR medical education | BACKGROUND: With the rapid advancement of artificial intelligence (AI) in various fields, evaluating its application in specialized medical contexts becomes crucial. ChatGPT, a large language model developed by OpenAI, has shown potential in diverse applications, including medicine. OBJECTIVE: This study aims to compar... | Ros-Arlanzon P; Perez-Sempere A | 21 | |||
39868292 | CARDBiomedBench: A Benchmark for Evaluating Large Language Model Performance in Biomedical Research: A novel question-and-answer benchmark designed to assess Large Language Models' comprehension of biomedical research, piloted on Neurodegenerative Diseases. | 2,025 | bioRxiv : the preprint server for biology | BACKGROUNDS: Biomedical research requires sophisticated understanding and reasoning across multiple specializations. While large language models (LLMs) show promise in scientific applications, their capability to safely and accurately support complex biomedical research remains uncertain. METHODS: We present CARDBiomed... | Bianchi O; Willey M; Alvarado CX; Danek B; Khani M; Kuznetsov N; Dadu A; Shah S; Koretsky MJ; Makarious MB; Weller C; Levine KS; Kim S; Jarreau P; Vitale D; Marsan E; Iwaki H; Leonard H; Bandres-Ciga S; Singleton AB; Nalls MA; Mokhtari S; Khashabi D; Faghri F | 10 | |||
39289734 | Comparative performance analysis of large language models: ChatGPT-3.5, ChatGPT-4 and Google Gemini in glucocorticoid-induced osteoporosis. | 2,024 | Journal of orthopaedic surgery and research | BACKGROUNDS: The use of large language models (LLMs) in medicine can help physicians improve the quality and effectiveness of health care by increasing the efficiency of medical information management, patient care, medical research, and clinical decision-making. METHODS: We collected 34 frequently asked questions abou... | Tong L; Zhang C; Liu R; Yang J; Sun Z | 0-1 | |||
38794965 | Evaluating the Accuracy, Comprehensiveness, and Validity of ChatGPT Compared to Evidence-Based Sources Regarding Common Surgical Conditions: Surgeons' Perspectives. | 2,025 | The American surgeon | BackgroundThis study aims to assess the accuracy, comprehensiveness, and validity of ChatGPT compared to evidence-based sources regarding the diagnosis and management of common surgical conditions by surveying the perceptions of U.S. board-certified practicing surgeons.MethodsAn anonymous cross-sectional survey was dis... | Nasef H; Patel H; Amin Q; Baum S; Ratnasekera A; Ang D; Havron WS; Nakayama D; Elkbuli A | 32 | |||
37115365 | Exploring the Potential of GPT-4 in Biomedical Engineering: The Dawn of a New Era. | 2,023 | Annals of biomedical engineering | Biomedical engineering is a relatively young interdisciplinary field based on engineering, biology, and medicine. Of note, the rapid progress of artificial intelligence (AI)-based technologies has made a significant impact on the biomedical engineering field, and continuously bring innovations and breakthroughs. Recent... | Cheng K; Guo Q; He Y; Lu Y; Gu S; Wu H | 10 | |||
38306900 | PubMed and beyond: biomedical literature search in the age of artificial intelligence. | 2,024 | EBioMedicine | Biomedical research yields vast information, much of which is only accessible through the literature. Consequently, literature search is crucial for healthcare and biomedicine. Recent improvements in artificial intelligence (AI) have expanded functionality beyond keywords, but they might be unfamiliar to clinicians and... | Jin Q; Leaman R; Lu Z | 10 | |||
39518681 | Harnessing the Power of ChatGPT in Cardiovascular Medicine: Innovations, Challenges, and Future Directions. | 2,024 | Journal of clinical medicine | Cardiovascular diseases remain the leading cause of morbidity and mortality globally, posing significant challenges to public health. The rapid evolution of artificial intelligence (AI), particularly with large language models such as ChatGPT, has introduced transformative possibilities in cardiovascular medicine. This... | Leon M; Ruaengsri C; Pelletier G; Bethencourt D; Shibata M; Flores MQ; Shudo Y | 10 | |||
37973369 | Assessing the performance of ChatGPT in bioethics: a large language model's moral compass in medicine. | 2,024 | Journal of medical ethics | Chat Generative Pre-Trained Transformer (ChatGPT) has been a growing point of interest in medical education yet has not been assessed in the field of bioethics. This study evaluated the accuracy of ChatGPT-3.5 (April 2023 version) in answering text-based, multiple choice bioethics questions at the level of US third-yea... | Chen J; Cadiente A; Kasselman LJ; Pilkington B | 21 | |||
39306288 | Evaluating Performance of ChatGPT on MKSAP Cardiology Board Review Questions. | 2,024 | International journal of cardiology | Chat Generative Pretrained Transformer (ChatGPT) is a natural language processing tool created by OpenAI. Much of the discussion regarding artificial intelligence (AI) in medicine is the ability of the language to enhance medical practice, improve efficiency and decrease errors. The objective of this study was to analy... | Milutinovic S; Petrovic M; Begosh-Mayne D; Lopez-Mattei J; Chazal RA; Wood MJ; Escarcega RO | 21 | |||
37295794 | Addition of dexamethasone to prolong peripheral nerve blocks: a ChatGPT-created narrative review. | 2,024 | Regional anesthesia and pain medicine | Chat Generative Pre-trained Transformer (ChatGPT), an artificial intelligence chatbot, produces detailed responses and human-like coherent answers, and has been used in the clinical and academic medicine. To evaluate its accuracy in regional anesthesia topics, we produced a ChatGPT review on the addition of dexamethaso... | Wu CL; Cho B; Gabriel R; Hurley R; Liu J; Mariano ER; Mathur V; Memtsoudis SG; Grant MC | 0-1 | |||
38156230 | All aboard the ChatGPT steamroller: Top 10 ways to make artificial intelligence work for healthcare professionals. | 2,023 | Antimicrobial stewardship & healthcare epidemiology : ASHE | Chat Generative Pre-trained Transformer (ChatGPT), the flagship generative artificial intelligence (AI) chatbot by OpenAI, is transforming many things in medicine, from healthcare and research to medical education. It is anticipated to integrate in many aspects of the medical industry, and we should brace for this inev... | Non LR | 10 | |||
39259341 | Analysis of Responses of GPT-4 V to the Japanese National Clinical Engineer Licensing Examination. | 2,024 | Journal of medical systems | Chat Generative Pretrained Transformer (ChatGPT; OpenAI) is a state-of-the-art large language model that can simulate human-like conversations based on user input. We evaluated the performance of GPT-4 V in the Japanese National Clinical Engineer Licensing Examination using 2,155 questions from 2012 to 2023. The averag... | Ishida K; Arisaka N; Fujii K | 21 | |||
37252576 | A Case Study Demonstrating Applications of ChatGPT in the Clinical Management of Treatment-Resistant Schizophrenia. | 2,023 | Cureus | Chat Generative Pre-trained Transformer, also known as ChatGPT, is a new artificial intelligence (AI) program that responds to user inquiry with discourse resembling human language. The range of ChatGPT capabilities caught the interest of the medical world after it demonstrated its ability to pass medical boards examin... | Galido PV; Butala S; Chakerian M; Agustines D | 0-1 | |||
37965416 | Ectopic Pituitary Neuroendocrine Tumor: A Case Report Written With the Help of ChatGPT. | 2,023 | Cureus | ChatGPT (Chat Generative Pre-trained Transformer) is a chat robot program developed by OpenAI (OpenAI Incorporated, Mission District, San Francisco, USA). It is a natural-language processing tool driven by artificial intelligence technology. It can complete tasks such as writing emails, video scripts, copywriting, tran... | Li J; Zhong J; Li Z; Xiao Y; Wang S | 10 | |||
37465809 | When Precision Meets Penmanship: ChatGPT and Surgery Documentation. | 2,023 | Cureus | ChatGPT (Chatbot Generative Pre-Trained Transformer) is an artificial intelligence with several potential applications in the field of medicine. As a large language model, it is particularly good at generating text. This study investigates the use of ChatGPT in constructing operation notes for laparoscopic appendicecto... | Robinson A; Aggarwal S Jr | 32 |
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