A scoping review of artificial intelligence in medical education: BEME Guide No. 84.

Morris Gordon Michelle M DanielAderonke AjiboyeHussein UraibyNicole Y XuRangana BartlettJanice HansonMary HaasMaxwell SpadaforeCiaran Grafton-ClarkeRayhan Yousef GasieaColin MichieJanet CorralBrian KwanDiana DolmansSatid Thammasitboon

Published in: Medical teacher (2024)

The current literature has been charted. The findings underscore the need for ongoing research to explore uncharted areas and address potential risks associated with AI use in medical education. This work serves as a foundational resource for educators, policymakers, and researchers in navigating AI's evolving role in medical education. A framework to support future high utility reporting is proposed, the FACETS framework.

Keyphrases

medical education
artificial intelligence
machine learning
big data
deep learning
human health
systematic review
emergency department
risk assessment
adverse drug
climate change