Curriculum Frameworks and Educational Programs in AI for Medical Students, Residents, and Practicing Physicians: Scoping Review
McGill University · McGill University Health Centre · +2 more institutions
Abstract
The successful integration of artificial intelligence (AI) into clinical practice is contingent upon physicians' comprehension of AI principles and its applications. Therefore, it is essential for medical education curricula to incorporate AI topics and concepts, providing future physicians with the foundational knowledge and skills needed. However, there is a knowledge gap in the current understanding and availability of structured AI curriculum frameworks tailored for medical education, which serve as vital guides for instructing and facilitating the learning process.
The overall aim of this study is to synthesize knowledge from the literature on curriculum frameworks and current educational programs that focus on the teaching and learning of AI for medical students, residents, and practicing physicians.
Citation impact
- FWCI
- 11.28
- Percentile
- 100%
- References
- 75
Authors
5- RTRaymond TolentinoCorresponding
McGill University
- ABAshkan Baradaran
McGill University
- GGGeneviève Gore
McGill University
- PPPierre Pluye
McGill University
- SASamira Abbasgholizadeh Rahimi
McGill University Health Centre, Jewish General Hospital, Mila - Quebec Artificial Intelligence Institute, McGill University
Topics & keywords
- CINAHL
- Curriculum
- Scopus
- MEDLINE
- Medical education
- Cochrane Library
- Systematic review
- Comprehension
- Quality Education