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A scoping review of artificial intelligence in medical education: BEME Guide No. 84
308
Zitationen
16
Autoren
2024
Jahr
Abstract
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.
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Autoren
Institutionen
- Blackpool Teaching Hospitals NHS Foundation Trust(GB)
- University of Central Lancashire(GB)
- University of California, San Diego(US)
- University Hospitals of Leicester NHS Trust(GB)
- Washington University in St. Louis(US)
- Office of Education(US)
- University of Michigan–Ann Arbor(US)
- University of East Anglia(GB)
- University of Nevada, Reno(US)
- Department of Health(TW)
- Baylor College of Medicine(US)