Mapping the use of artificial intelligence in medical education: a scoping review
EHErwin Hernando Hernández RincónDJDaniel JiménezLALiliana AguilarJMJuan Miguel Pérez FlórezÁEÁlvaro Enrique Romero-Tapia
Indexed incrossrefdoajpubmed
Abstract
Introduction
The integration of artificial intelligence (AI) in healthcare has transformed clinical practices and medical education, with technologies like diagnostic algorithms and clinical decision support increasingly incorporated into curricula. However, there is still a gap in preparing future physicians to use these technologies effectively and ethically.
Objective
This scoping review maps the integration of artificial intelligence (AI) in undergraduate medical education (UME), focusing on curriculum development, student competency enhancement, and institutional barriers to AI adoption.
Citation impact
95
total citations
- FWCI
- 45.22
- Percentile
- 100%
- References
- 52
Citations per year
Authors
6Topics & keywords
Topics
Keywords
- Medical education
- MEDLINE
- Data science
- Psychology
- Medicine
- Computer science
- Political science
UN Sustainable Development Goals
- Quality Education
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