Artificial Intelligence in Undergraduate Medical Education: A Scoping Review.
Journal
Academic medicine : journal of the Association of American Medical Colleges
ISSN: 1938-808X
Titre abrégé: Acad Med
Pays: United States
ID NLM: 8904605
Informations de publication
Date de publication:
01 11 2021
01 11 2021
Historique:
pubmed:
5
8
2021
medline:
9
11
2021
entrez:
4
8
2021
Statut:
ppublish
Résumé
Artificial intelligence (AI) is a rapidly growing phenomenon poised to instigate large-scale changes in medicine. However, medical education has not kept pace with the rapid advancements of AI. Despite several calls to action, the adoption of teaching on AI in undergraduate medical education (UME) has been limited. This scoping review aims to identify gaps and key themes in the peer-reviewed literature on AI training in UME. The scoping review was informed by Arksey and O'Malley's methodology. Seven electronic databases including MEDLINE and EMBASE were searched for articles discussing the inclusion of AI in UME between January 2000 and July 2020. A total of 4,299 articles were independently screened by 3 co-investigators and 22 full-text articles were included. Data were extracted using a standardized checklist. Themes were identified using iterative thematic analysis. The literature addressed: (1) a need for an AI curriculum in UME, (2) recommendations for AI curricular content including machine learning literacy and AI ethics, (3) suggestions for curriculum delivery, (4) an emphasis on cultivating "uniquely human skills" such as empathy in response to AI-driven changes, and (5) challenges with introducing an AI curriculum in UME. However, there was considerable heterogeneity and poor consensus across studies regarding AI curricular content and delivery. Despite the large volume of literature, there is little consensus on what and how to teach AI in UME. Further research is needed to address these discrepancies and create a standardized framework of competencies that can facilitate greater adoption and implementation of a standardized AI curriculum in UME.
Identifiants
pubmed: 34348374
doi: 10.1097/ACM.0000000000004291
pii: 00001888-202111001-00014
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
S62-S70Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2021 by the Association of American Medical Colleges.
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