Presentation
17 March 2023 Open access fNIRS dataset of surgical skill execution in the fundamental of laparoscopic program
Anil Kamat, Condell Eastmond, Erim Yanik, Suvranu De, Xavier Intes
Author Affiliations +
Abstract
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.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anil Kamat, Condell Eastmond, Erim Yanik, Suvranu De, and 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
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KEYWORDS
Laparoscopy

Data acquisition

Surgery

Brain activation

Neuroimaging

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