ArticleMedical science educator2024
ChatGPT-Based Learning: Generative Artificial Intelligence in Medical Education.
Article in Medical science educator, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- AI-supported case-based learning in medical education: a comprehensive scoping review.Frontiers in medicine · 2026Pooled it
- [Medical education and artificial intelligence: perspectives and ethical challenges].Revista medica del Instituto Mexicano del Seguro Social · 2025Pooled it
- Pedagogical Efficacy of LLM-Generated Synthetic Data Versus Real-World Clinical Records: A Randomized Controlled Non-Inferiority Trial.Perspectives on medical education · 2026Trial
- Feasibility study of using GPT for history-taking training in medical education: a randomized clinical trial.BMC medical education · 2025Trial
- Application of ChatGPT-assisted problem-based learning teaching method in clinical medical education.BMC medical education · 2025Trial
- A Multimodal AI Framework for Medical Education: Integrating Adaptive Image Retrieval, Fast Synthesis, and LLM-Based Clinical Auditing.Journal of imaging · 2026Article
- Education Research: Integrating AI-Enabled Interactive Case-Based Learning in a Preclinical Neurosciences Course.Neurology. Education · 2026Article
- Education Research: Quality of Narrative Feedback Generated by a Large Language Model Compared With Expert Faculty for Case-Based Learning in Neurology Education.Neurology. Education · 2026Article
- Effects of ChatGPT-generated immediate feedback integrated into VR-based OSCEs on nursing students' performance: a randomized crossover study.BMC nursing · 2026Article
- Evaluating the Teaching Effectiveness of Interactive Virtual Platform Based on Artificial Intelligence for Obstetrics and Gynecology Residency Training.Advances in medical education and practice · 2026Article
- Education Research: Creating Online Interactive Case-Based Learning Experiences From Educational Case Reports With Large Language Models: A Feasibility Study.Neurology. Education · 2025Article
- Evaluating the Effectiveness of ChatGPT Versus Human Proctors in Grading Medical Students' Post-OSCE Notes.Family medicine · 2025Article
- Applications, Challenges, and Prospects of Generative Artificial Intelligence Empowering Medical Education: Scoping Review.JMIR medical education · 2025Article
- Applying ChatGPT to plan and create a realistic collection of virtual patients for clinical reasoning training.BMC medical education · 2025Article
- Interdisciplinary medical education practices: building a case-driven interdisciplinary simulation system based on public datasets.BMC medical education · 2025Article
- The Usability of Neurological Occupational Therapy Case Studies Generated by ChatGPT.Healthcare (Basel, Switzerland) · 2025Article
- Use of Large Language Models for Rapid Quantitative Feedback in Case-Based Learning: A Pilot Study.Medical science educator · 2025Article
- Integrating Generative AI in Dental Education: A Scoping Review of Current Practices and Recommendations.European journal of dental education : official journal of the Association for Dental Education in Europe · 2025Article
- Leveraging Generative Artificial Intelligence to Improve Motivation and Retrieval in Higher Education Learners.JMIR medical education · 2025Article
- ChatGPT-Generated Case-Based Learning Cases Come at a Cost….Medical science educator · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Large language models like ChatGPT are a type of machine learning model that can offer a positive paradigm shift in case-based/problem-based learning (CBL/PBL). ChatGPT may be able to augment the existing paradigm to work in conjunction with the clinical-teacher in PBL/CBL case generation. It can develop realistic patient cases that could be revised by clinical teachers to ensure accuracy and relevance. Further, it can be directed to include specific case content in order to facilitate the constructive alignment of the case with the broader learning objectives of the curriculum. There is also the possibility of improving engagement by 'gamifying' CBL/PBL. Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-023-01934-5.
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.