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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.
Anil Kamat,Condell Eastmond,Erim Yanik,Suvranu De, andXavier Intes
"Open access fNIRS dataset of surgical skill execution in the fundamental of laparoscopic program", Proc. SPIE 12364, Clinical and Translational Neurophotonics 2023, 123640E (17 March 2023); https://doi.org/10.1117/12.2651202
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Anil Kamat, Condell Eastmond, Erim Yanik, Suvranu De, Xavier Intes, "Open access fNIRS dataset of surgical skill execution in the fundamental of laparoscopic program," Proc. SPIE 12364, Clinical and Translational Neurophotonics 2023, 123640E (17 March 2023); https://doi.org/10.1117/12.2651202