ArticlePerspectives on medical education2025
Not Replaced, but Reinvented: AI Education Pathways to Prepare Future Physicians to Lead Healthcare Transformation.
Article in Perspectives on medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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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
9 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 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
- Medical AI Use Intention Among Medical Students and Faculty and Its Associations With AI Literacy, Perceived Benefits, and Risks: Cross-Sectional Survey Study.JMIR medical education · 2026Article
- Artificial Intelligence Tools in Psychiatric Education: Innovating While Maintaining Human Connection.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2026Article
- Defining the artificial intelligence knowledge gap in surgery: experience and perspectives from surgical resident and postgraduate.Updates in surgery · 2026Article
- Design and Evaluation of a Faculty Development Workshop Series on Integrating Generative Artificial Intelligence in Medical Education: Mixed Methods Pilot Study.JMIR medical education · 2026Article
- Redesigning leadership for clinical AI deployment.NPJ digital medicine · 2026Article
- Training the next-generation of biomedical scientists through artificial intelligence-driven education and research in pharmacology and pharmaceutical sciences.Experimental biology and medicine (Maywood, N.J.) · 2026Review
- Cultivating adaptive expertise in critical care: reimagining intensive care unit education in the era of Artificial Intelligence.Critical care science · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is rapidly transforming medical education and practice, challenging the cognitive role of physicians, and raising concerns about their future relevance. While this potential disruption sparks fear, it is also an unprecedented opportunity. Healthcare faces significant challenges - inequities, inefficiencies, and gaps in quality - that AI could help address. Instead of fearing change, physicians must take the lead in shaping the AI-integrated future of healthcare for the benefit of patients and society. Physicians, with their deep understanding of patient needs and systemic challenges, must lead this transformation - starting with medical education. The next generation of physicians should be prepared not just to work alongside AI, but to drive its development in ways that enhance patient outcomes and uphold medical ethics. This Eye opener, authored by medical educators and students with diverse perspectives, proposes foundational skills for all physicians, including AI literacy, critical appraisal of AI-generated outputs, ethical considerations, and resilience in AI-independent decision-making. Beyond these core competencies, they outline specialized AI educational pathways - ranging from technical expertise to health system transformation and precision medicine - to prepare healthcare professionals for leadership in an AI-integrated future. Designing these curricula will require innovative collaboration with technological experts, data scientists, policymakers, clinicians, and educators. This educational reform demands systems thinking, interdisciplinary collaboration, faculty development, robust assessment frameworks, global perspectives, and a commitment to lifelong learning. Delaying this work risks ceding control of AI's role in medicine to entities that may not always prioritize patient welfare. The future of AI-integrated healthcare will be shaped by those who take initiative. Medical educators must guide and train students to lead AI's transformative potential, ensuring that technological advancements are leveraged for the benefit of patients and society. The time to act is now.
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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.