Evaluating the generalizability of video-based assessment of intraoperative surgical skill in capsulorhexis.

Journal: International journal of computer assisted radiology and surgery
Published Date: May 22, 2025

Abstract

PURPOSE: Assessment of intraoperative surgical skill is necessary to train surgeons and certify them for practice. The generalizability of deep learning models for video-based assessment (VBA) of surgical skill has not yet been evaluated. In this work, we evaluated one unsupervised domain adaptation (UDA) and three semi-supervised (SSDA) methods for generalizability of models for VBA of surgical skill in capsulorhexis by training on one dataset and testing on another.

Authors

  • Zhiwei Gong
    Department of Pharmacy, School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, 400054, China.
  • Bohua Wan
    Department of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA.
  • Jay N Paranjape
    Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
  • Shameema Sikder
    Wilmer Eye Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Vishal M Patel
  • S Swaroop Vedula
    Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.

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