ArticlePLOS digital health2024
ChatGPT and large language models (LLMs) awareness and use. A prospective cross-sectional survey of U.S. medical students.
Article in PLOS digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
31 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Medical Students' Attitudes, Perceptions, and Self-Reported Familiarity With AI in Health Care: Systematic Review and Meta-Analysis.JMIR medical education · 2026Pooled it
- The impact of generative AI on health professional education: A systematic review in the context of student learning.Medical education · 2025Pooled it
- AI Tool Use Among Osteopathic Medical Students: Pilot Digital Diary Study.JMIR formative research · 2026Observational
- Performance of Large Language Models for Oncology Nursing Decision Support: Cross-Sectional Study.Journal of medical Internet research · 2026Article
- Diagnostic accuracy and citation integrity of four large language models on otolaryngology vignettes.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 · 2026Article
- Where Evidence-Based Medicine Meets AI: Promise, Pitfalls, and Practice.AEM education and training · 2026Article
- A call for clarity: a unified checklist for reporting use of large language models in writing scientific manuscripts.Research integrity and peer review · 2026Article
- Factors influencing college student intention to use ChatGPT with an integrated TAM and IDT model.Scientific reports · 2026Article
- Health Professional Students' Use of Generative Artificial Intelligence During Clinical Placements: Cross-Sectional Online Survey Study.JMIR medical education · 2026Article
- AI in the Classroom: Observing Preclinical Students' Use of ChatGPT During Case-Based Learning at a UK Medical School.The clinical teacher · 2026Article
- Investigating expectations and needs regarding the use of large language models at Bavarian university clinics.Scientific reports · 2026Article
- Medical Student Experiences With ChatGPT: National Cross-Sectional Study.JMIR formative research · 2026Article
- Large language model use in oral and maxillofacial surgery training: a national resident survey.Oral and maxillofacial surgery · 2026Article
- A scoping review of the use of generative artificial intelligence tools in health profession education.BMC medical education · 2026Article
- Utilization of AI Among Medical Students and Development of AI Education Platforms in Medical Institutions: Cross-Sectional Study.JMIR human factors · 2026Article
- The Long road to AI-physician partnership starts with learners: a map for AI in medical education.BMJ digital health & AI · 2026Review
- Artificial Intelligence and Large Language Models: A Case-Based, Peer-Teaching Workshop for Preclinical Medical Students.MedEdPORTAL : the journal of teaching and learning resources · 2026Article
- Guiding student use of generative AI in undergraduate pharmacology: a narrative review and proposed source-checking process framework.Frontiers in medicine · 2026Review
- Perceptions, Usage, and Educational Impact of ChatGPT Among Medical Students in Germany: Cross-Sectional Mixed Methods Survey.JMIR formative research · 2025Article
- A generative AI teaching assistant for personalized learning in medical education.NPJ digital medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Generative-AI (GAI) models like ChatGPT are becoming widely discussed and utilized tools in medical education. For example, it can be used to assist with studying for exams, shown capable of passing the USMLE board exams. However, there have been concerns expressed regarding its fair and ethical use. We designed an electronic survey for students across North American medical colleges to gauge their views on and current use of ChatGPT and similar technologies in May, 2023. Overall, 415 students from at least 28 medical schools completed the questionnaire and 96% of respondents had heard of ChatGPT and 52% had used it for medical school coursework. The most common use in pre-clerkship and clerkship phase was asking for explanations of medical concepts and assisting with diagnosis/treatment plans, respectively. The most common use in academic research was for proof reading and grammar edits. Respondents recognized the potential limitations of ChatGPT, including inaccurate responses, patient privacy, and plagiarism. Students recognized the importance of regulations to ensure proper use of this novel technology. Understanding the views of students is essential to crafting workable instructional courses, guidelines, and regulations that ensure the safe, productive use of generative-AI in medical school.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.