SynthesisBMC medical education2025
Integrating artificial intelligence into medical education: a narrative systematic review of current applications, challenges, and future directions.
Synthesis in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis 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
40 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Development of AI competencies within the medical curriculum.Frontiers in medicine · 2026Pooled it
- Artificial intelligence-powered virtual standardized patients in teaching history-taking skills to medical students: a randomized controlled trial.BMC medical education · 2026Trial
- Effect of a digital training package on clinical outcomes in Malawi's index case testing programme: a cluster randomised controlled trial.BMJ global health · 2026Trial
- Artificial intelligence readiness in Pakistan's medical and dental education: training-phase decline, a knowledge-practice paradox, and the role of digital determinants of health.Medical education online · 2026Article
- Artificial intelligence in reproductive medicine and education: current evidence, challenges, and future directions.Journal of assisted reproduction and genetics · 2026Review
- Artificial intelligence in psychiatric care and education: a qualitative study of factors influencing adoption in Singapore.International journal of medical education · 2026Article
- AI Integration in Undergraduate Medical Education: Qualitative Study of Faculty Perspectives in the United Arab Emirates.JMIR medical education · 2026Article
- Article
- Bridging the Gap: Translated Medical Education to Support Cystic Fibrosis Centers From Non-English Speaking Countries.Pediatric pulmonology · 2026Article
- Awareness, Educational Needs, and Curriculum Preferences Regarding AI and Medical Big Data Education Among Clinical Medicine Undergraduates: Cross-Sectional Survey Study.JMIR formative research · 2026Article
- Teaching AI ethics in medical schools: a scoping review protocol on the ethical-technical balance in curricular frameworks.BMJ open · 2026Article
- Pilot of a blended learning model on medical students' communication skills in the context of digital innovations.BMC medical education · 2026Article
- AI and the transformation of clinical reasoning: A classroom perspective.PLOS digital health · 2026Article
- How to Teach Generative Artificial Intelligence in Undergraduate Medical Education.The clinical teacher · 2026Article
- Identifying necessary conditions for medical students' adoption of AI in the future practice: a survey study in Canada.BMC medical education · 2026Article
- Generative AI and knowledge management in health education: a cross-sectional study of students' digital literacy and attitudes from a developing-country context.BMC medical education · 2026Article
- Opportunities and Challenges of Generative AI in Postgraduate Health Professions Education Assessments From Educator and Learner Perspectives: Qualitative Study.JMIR formative research · 2026Article
- Evaluating large language models for pharmacotherapy simulations: a mixed-methods study.NPJ digital medicine · 2026Article
- Can artificial intelligence help with the development of generic clinical skills when breaking bad news? A quantitative evaluation.Clinical medicine (London, England) · 2026Article
- Large Language Models in Medical and Dental Education: A Cross-Sectional Comparison of AI-Generated and Faculty-Authored Prosthodontic Materials.Dentistry journal · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial Intelligence (AI) is reshaping both healthcare delivery and the structure of medical education. This narrative review synthesizes insights from 14 studies exploring how AI is being integrated into undergraduate, postgraduate, and continuing medical education programs. The evidence highlights a wide range of applications, including diagnostic assistance, curriculum redesign, enhanced assessment methods, and streamlined administrative tasks. Nevertheless, several challenges persist-such as ethical dilemmas, the lack of validated curricula, limited empirical research, and infrastructural constraints-that hinder broader implementation. The protocol was registered with PROSPERO (ID: 1109025), and the review followed PRISMA 2020 guidelines. The findings emphasize the need for well-structured AI curricula, targeted faculty development, interdisciplinary collaboration, and ethically sound practices. To promote sustainable and equitable adoption, the review advocates for a phased, learner-centered approach tailored to the evolving demands of medical education.
Indexed as
Identifiers
What Socratic 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 Socratic graph.