ArticleMedical education online2025
Integrating artificial intelligence into medical education: a roadmap informed by a survey of faculty and students.
Article in Medical education online, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Integrating artificial intelligence into medical education: a narrative systematic review of current applications, challenges, and future directions.BMC medical education · 2025Pooled it
- The Promises and Perils of Clinical Decision Support Artificial Intelligence.The clinical teacher · 2026Article
- Artificial intelligence in clinical genetics: Current practice and attitudes among the clinical genetics workforce.Genetics in medicine : official journal of the American College of Medical Genetics · 2026Article
- AI literacy among healthcare professionals and students in the Americas.Lancet regional health. Americas · 2026Review
- Artificial Intelligence in Psychiatric Graduate Medical Education.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2026Article
- The AI adoption paradox in Chinese medical education: a multi-institution cross-sectional study of usage patterns, critical literacy gaps, and adoption profiles among 3,194 undergraduate medical students.BMC medical education · 2026Article
- Article
- Health Professional Students' Use of Generative Artificial Intelligence During Clinical Placements: Cross-Sectional Online Survey Study.JMIR medical education · 2026Article
- Designing AI-resilient admissions interviews for health professions training in the age of generative AI.NPJ digital medicine · 2026Article
- Faculty Perspectives on AI Integration in Anatomy Education in the United Arab Emirates: Cross-Sectional Survey.JMIR medical education · 2026Article
- Benchmarking Large Language Models Against Psychiatry Residents Using Traditional Institutional Assessments.Indian journal of psychological medicine · 2026Article
- Review
- The AI adaptation divide in medical education: A generational perspective.PLOS digital health · 2026Article
- Cognitive Overload by Algorithm: Simulation Showed AI Is Not Ready to Lead Diabetic Ketoacidosis.Diabetes/metabolism research and reviews · 2026Article
- Bridging the mentorship divide: how large language models could reshape medical workforce equity.NPJ digital medicine · 2026Article
- The digital transformation of clinical teaching: a review of AI and data-driven quality assurance systems in medical education.Frontiers in public health · 2026Review
- From resistance to readiness: faculty development as the key to AI literacy in public health.Frontiers in public health · 2026Article
- Hierarchy and hope: Exploring AI's role in medicine through a thematic analysis of online discourse.PLOS digital health · 2026Article
- Implementation of a Novel Case-Based Session for Medical Students Focused on Artificial Intelligence Ethics.MedEdPORTAL : the journal of teaching and learning resources · 2026Article
- Integrating Artificial Intelligence into Medical Education in LMICs: A Narrative Review.Advances in medical education and practice · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We surveyed faculty and students at a large urban medical school to assess their awareness, usage patterns, and perceived barriers to AI adoption, aiming to identify opportunities for meaningful integration of AI into medical education. We developed a custom survey and distributed it to all medical students (Years 1-4) and a selected group of faculty involved in the MD curriculum. We used descriptive statistics to analyze quantitative data and conducted content analysis on open-ended responses. A total of 128 faculty and 138 students completed the survey. Most participants self-identified as novice AI users and reported limited awareness and infrequent use of AI tools for professional or academic tasks. They cited lack of knowledge, limited time, and unclear benefits as key barriers. Both groups called for training, ethical guidance, and institutional support to facilitate AI integration into medical education. Faculty and students expressed similar needs for targeted AI education, though they emphasized different aspects. In response, our school has conducted a faculty training session and has accelerated identifying opportunities to integrate AI into the curriculum.
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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.