Surgical skill assessment requires the development of objective metrics for improved training regimen and certification process. In this project, we sought to leverage fNIRS data within the framework of the Fundamental of Laparoscopy program to 1) classify the subject's expertise level (n=16), 2) monitor surgical skill acquisition (n=36), 3) benchmark against and/or predict the FLS score which is used for surgical certification (n=13). The data set is made open access to enable neuroscience discovery, provide test beds for improved data analysis and provide data to support the development of AI-based solutions in fNIRS.
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