ReviewCureus2025
Generative Artificial Intelligence (AI) in Medical Education: A Narrative Review of the Challenges and Possibilities for Future Professionalism.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 1 synthesis or guideline 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
- 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
- Development and validation of the intelligent digital learning student engagement influencing factor scale for medical students.International journal of nursing sciences · 2026Article
- Expanding the Roles of Medical Educators in the Generative Artificial Intelligence Era: A Qualitative Study.Medical science educator · 2026Article
- Reassessing Parente: Considering Emerging AI Pedagogies.Family medicine · 2026Article
- Health Professional Students' Use of Generative Artificial Intelligence During Clinical Placements: Cross-Sectional Online Survey Study.JMIR medical education · 2026Article
- Understanding undergraduate nursing students' learning journeys with artificial intelligence: a journey mapping study.BMC medical education · 2026Article
- Technostress in the Era of Generative Artificial Intelligence: Mental Health Implications in Medical Education.Psychiatry investigation · 2026Article
- Generative AI in perioperative medicine and anesthesiology: ethical integration, educational innovation, and the future of clinical professionalism.Journal of anesthesia · 2026Review
- Preparedness for generative AI adoption among Chinese cancer survivors: a multi-center cross-sectional survey study.Frontiers in public health · 2026Article
- AI-generated videos in medical science popularization and education: a scoping review.Frontiers in public health · 2026Article
- Generative Artificial Intelligence in Health Informatics Education: A Qualitative Exploration of Student Engagement, Perceived Educational Implications, and Ethical Considerations.Advances in medical education and practice · 2026Article
- When Assessment Theory Meets Generative AI: Reimagining SBA Design in Medical Education.Perspectives on medical education · 2026Article
- A dialectical lens for AI and medical humanities: advancing responsible augmented humanism in Digital Public Health.Frontiers in public health · 2026Review
- AI literacy in undergraduate medical education: a competency-based interpretive framework for curriculum and assessment.Frontiers in medicine · 2026Review
- The association between artificial intelligence and health specialty students' critical thinking, clinical competency, and willingness to practice human interaction skills.BMC medical education · 2025Article
- Efficacy of Large Language Models in Providing Evidence-Based Patient Education for Celiac Disease: A Comparative Analysis.Nutrients · 2025Article
- Review
- Large language models as clinical decision-support tools in multiple sclerosis and neuromyelitis optica spectrum disorders: A comparative study of ChatGPT-4o and neurologists.Multiple sclerosis journal - experimental, translational and clinicalArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid emergence of generative artificial intelligence (AI) is reshaping the landscape of medical education and healthcare. Unlike traditional AI, which focuses on classification or prediction, generative AI can create novel content-such as clinical notes, patient education materials, and simulated interactions-based on large-scale data. This capacity offers significant opportunities for personalized learning, clinical efficiency, and patient engagement. However, the integration of generative AI also introduces complex challenges, including ethical ambiguity, misinformation, accountability, data privacy risks, and potential erosion of critical thinking skills. These risks are especially salient in educational settings, where future physicians are still developing their professional identities. In this narrative review, we examine the dual role of generative AI as both a transformative tool and a source of ethical and professional disruption. We analyze its benefits and challenges across educational and clinical domains and argue that the traditional model of medical professionalism must evolve in response. Drawing on international literature and diverse cultural contexts in medical education, we propose a redefined framework for AI-era professionalism-one that integrates technological fluency with enduring humanistic values such as empathy, integrity, and accountability. This review offers AI-integrated medical professionalism to prepare future physicians to use generative AI responsibly, ethically, and in service of patient-centered care.
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.