aceArtificial intelligence in undergraduate medical education: an updated scoping review
BACKGROUND: The irrevocable alteration of medical education due to widespread access to large language models (LLMs) in 2022, and the concomitant surge in AI-related literature, has prompted us to update the evolving impact of AI on undergraduate medical education (UGME). METHODS: The scoping review adhered to the framework of Arksey and O'Malley. A literature search was conducted in April 2024 on PubMed, Scopus, Web of Science Core Collection, ERIC, and Google Scholar using the terms "UGME", "medical students",…
Some institutions have begun integrating AI into undergraduate medical curricula as AI use rapidly increases across basic and clinical courses.
There is no standardized approach or consensus on AI competencies and ethical frameworks for undergraduate medical education, and no studies assessed impact on critical thinking or clinical reasoning.
No included studies measured AI's effect on critical thinking or clinical reasoning, and best evidence for implementation remains unclear.
Evidence
- Peer-reviewedBMC Medical Education2025-11-17
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Truvace Impact Record TRV-2026-0458, v1: “Artificial intelligence in undergraduate medical education: an updated scoping review.” Truvace, 2026-07-20. /record/TRV-2026-0458 (accessed at citation time). sha256 dce3f4348ad553a0…
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