Exploring the roles of artificial intelligence in surgical education: A scoping review

Autor:	Elif Bilgic, Andrew Gorgy, Alison Yang, Michelle Cwintal, Hamed Ranjbar, Kalin Kahla, Dheeksha Reddy, Kexin Li, Helin Ozturk, Eric Zimmermann, Andrea Quaiattini, Samira Abbasgholizadeh-Rahimi, Dan Poenaru, Jason M. Harley
Rok vydání:	2022
Předmět:	03 medical and health sciences 0302 clinical medicine Artificial Intelligence 030220 oncology & carcinogenesis Humans Learning Surgery General Medicine 030218 nuclear medicine & medical imaging
Zdroj:	The American Journal of Surgery. 224:205-216
ISSN:	0002-9610
DOI:	10.1016/j.amjsurg.2021.11.023
Popis:	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.Nine bibliographic databases were searched from January 2010 to January 2021. Full-text articles were included if they focused on AI in surgical education.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.AI can help optimize the education of trainees and our results can help educators and researchers identify areas that need further investigation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d7ca68dcc6d87faff79ef2b4a58d97a https://doi.org/10.1016/j.amjsurg.2021.11.023 Zobrazit plný text záznamu Full Text from ScienceDirect