ReviewJournal of the American Medical Informatics Association : JAMIA2024
Harnessing the potential of large language models in medical education: promise and pitfalls.
Review in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06759012 (An Agentic Co-educator System for Personalized Medical Education), which is not on this map. Cited by 48 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
An Agentic Co-educator System for Personalized Medical Education
Who cites it
48 citing papers in PubMed, 80 citations in OpenAlex.
- An exploratory study of the use of artificial intelligence-based virtual patients to enhance dentist-patient communication training.BMC medical education · 2026Trial
- Saudi Medical Students' Perceptions and Attitudes of Integrating Generative Artificial Intelligence Integration in Medical Education: A Cross-Sectional Study.Health science reports · 2026Article
- The role of large language models in the writing of surgical reviews: fact or fantasy?Langenbeck's archives of surgery · 2026Article
- Ambiguity Detection in Medical Exams via Large Language Models: Retrospective Cross-Sectional Pilot Study.JMIR medical education · 2026Article
- Feasibility and challenges of large language model (LLM)-generated neonatal resuscitation simulations: a multicenter exploratory study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026Article
- Evaluating the clinical decision-making performance of large language models in clinically oriented thoracic anatomy scenarios: a comparative evaluation study.BMC medical education · 2026Article
- Exploring the impact of artificial intelligence on dental education: Benefits, challenges, and future directions - A systematic review of the literature.Journal of education and health promotion · 2026Review
- Hotspot Evolution and Future Prospects of Large Language Models in Medical Education: A Bibliometric Analysis.Advances in medical education and practice · 2026Article
- Evaluating large language models for diabetic retinopathy multiple-choice question generation in clinical ophthalmic education.Frontiers in medicine · 2026Article
- Medical Feature Extraction From Clinical Examination Notes: Development and Evaluation of a Two-Phase Large Language Model Framework.JMIR medical informatics · 2025Article
- Large language models in medical education: a comparative cross-platform evaluation in answering histological questions.Medical education online · 2025Article
- Article
- Can large language models assist with pediatric dosing accuracy?Pediatric research · 2025Article
- What patients want from healthcare chatbots: insights from a mixed-methods study.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Feasibility analysis of generative artificial intelligence tools as a means of medical science popularization on urological diseases.Translational andrology and urology · 2025Article
- Large language models as educational collaborators: developing non-conventional teaching aids in pharmacology & therapeutics.BMC medical education · 2025Article
- ChatGPT in Medical Education: Bibliometric and Visual Analysis.JMIR medical education · 2025Review
- Applying ChatGPT to plan and create a realistic collection of virtual patients for clinical reasoning training.BMC medical education · 2025Article
- Comparison of CT referral justification using clinical decision support and large language models in a large European cohort.European radiology · 2025Article
- Article
Corrections and comments
- Commented on by
Authors and funding
15 authors at 11 institutions in 6 countries.
Funding
Abstract
objectivesTo provide balanced consideration of the opportunities and challenges associated with integrating Large Language Models (LLMs) throughout the medical school continuum. PROCESS: Narrative review of published literature contextualized by current reports of LLM application in medical education.
conclusionsLLMs like OpenAI's ChatGPT can potentially revolutionize traditional teaching methodologies. LLMs offer several potential advantages to students, including direct access to vast information, facilitation of personalized learning experiences, and enhancement of clinical skills development. For faculty and instructors, LLMs can facilitate innovative approaches to teaching complex medical concepts and fostering student engagement. Notable challenges of LLMs integration include the risk of fostering academic misconduct, inadvertent overreliance on AI, potential dilution of critical thinking skills, concerns regarding the accuracy and reliability of LLM-generated content, and the possible implications on teaching staff.
Indexed as
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.