Accepted Type
Dedicated Poster
Code
LP7 - 09
Acceptance Declaration
Accept
Additional Information
I declare I have no actual or potential conflict of interest in relation to this program.
Was this work accepted for CCME 2020?
no
Category
General Call (Workshop, Oral Presentation, Poster Presentation)
Type
Poster
Sub Type
Education Research
Will the presenter be a:
Student
Affiliation
Title
Artificial intelligence in undergraduate medical education: A scoping review
Length of Presentation
Background/Purpose
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 key concepts in the peer-reviewed literature on AI training in UME.
Methods
The scoping review was informed by Arksey and O'Malley's methodology. 8 electronic databases including MEDLINE and EMBASE were searched for articles discussing the inclusion of AI in UME between January 2000 and July 2020. 1750 articles were independently screened by three co-investigators and 22 full-text articles were included. Data was extracted using a standardized checklist. Themes were identified using iterative thematic analysis.
Results
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.
Conclusion
Despite a 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.
Keyword 1
Artificial intelligence
Keyword 2
Undergraduate medical education
Level of Training
Undergraduate
Abstract Themes
Curriculum
Curriculum
General
Additional Theme (First choice)
Undergraduate
Additional Theme (Second Choice)
Additional Theme (Third Choice)
Authors
Presenter
Annie Wu
Term 1
Yes
Term 2
Yes
Term 3
Yes
Term 4
Yes
Term 5
Yes
