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	Podcast:		KeyLIME
	Episode:		[268] Maybe machines can solve the bias of raters?
	Category:		Science & Medicine
	Duration:		00:34:42
	Publish Date:		2020-06-16 01:00:00
	Description:		Episode Length: 34:39 Author: Winkler-Schwartz et. al. Publication: Machine Learning Identification of Surgical and Operative Factors Associated With Surgical Expertise in Virtual Reality Simulation Purpose of study: “To identify surgical and operative factors selected by a machine learning algorithm to accurately classify participants by level of expertise in a virtual reality surgical procedure.” Voting for Methodology and Impact: 28:07 Follow our co-hosts on Twitter! Jason R. Frank: @drjfrank Jonathan Sherbino: @sherbino Linda Snell: @LindaSMedEd Lara Varpio: @LaraVarpio Lara Varpio's Disclaimer: The views expressed in this manuscript are solely those of the authors and do not necessarily reflect those of the Uniformed Services University of the Unites States Department of Defense. Want to learn more about KeyLIME? Click here! Full transcript for this Episode is available upon request.
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