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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
Read a KeyLIMErs response to this Episode here
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 here.
By your host Adam Szulewski4.9
5050 ratings
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
Read a KeyLIMErs response to this Episode here
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 here.

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