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Exploring the roles of artificial intelligence in surgical education: A scoping review
Elif Bilgic1, Andrew Gorgy1, Alison Yang1
1Department of Surgery, McGill University, Montreal, Quebec, Canada.
Background:
Technology-enhanced teaching and learning, including Artificial Intelligence (AI) applications, has started to evolve in surgical education. Hence, the purpose of this scoping review is to explore the current and future roles of AI in surgical education.
Methods:
Nine bibliographic databases were searched from January 2010 to January 2021. Full-text articles were included if they focused on AI in surgical education.
Results:
Out of 14,008 unique sources of evidence, 93 were included. Out of 93, 84 were conducted in the simulation setting, and 89 targeted technical skills. Fifty-six studies focused on skills assessment/classification, and 36 used multiple AI techniques. Also, increasing sample size, having balanced data, and using AI to provide feedback were major future directions mentioned by authors.
Conclusions:
AI can help optimize the education of trainees and our results can help educators and researchers identify areas that need further investigation.
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