Enhancing Accuracy of Operative Reports with Automated Artificial Intelligence Analysis of Surgical Video.

Journal: Journal of the American College of Surgeons
PMID: 39918224

Abstract

BACKGROUND: The creation of operative reports is a tedious documentation task that increases administrative burden, which is a potential driver of burnout. Additionally, operative reports are inherently subjective and may contain inaccuracies and incomplete information. Recent advances in artificial intelligence (AI) technology have enabled computer vision systems to accurately detect operative steps on surgical video. We aim to develop a platform for the automated creation of video-based AI surgical operative reports in robotic-assisted radical prostatectomy.

Authors

  • Abhinav Khanna
    Glickman Urologic and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA.
  • Tamir Wolf
    Theator Inc., Palo Alto, CA.
  • Igor Frank
    Department of Urology, Mayo Clinic, Rochester, Minnesota.
  • Alexander Krueger
    From the Department of Urology, Mayo Clinic, Rochester, MN (Khanna, Frank, Krueger, Shah, Sharma, Gettman, Boorjian, Tollefson).
  • Paras Shah
    From the Department of Urology, Mayo Clinic, Rochester, MN (Khanna, Frank, Krueger, Shah, Sharma, Gettman, Boorjian, Tollefson).
  • Vidit Sharma
    Mayo Clinic, Rochester, MN 55905, USA.
  • Matthew T Gettman
    From the Department of Urology, Mayo Clinic, Rochester, MN (Khanna, Frank, Krueger, Shah, Sharma, Gettman, Boorjian, Tollefson).
  • Stephen A Boorjian
    Department of Urology, Mayo Clinic, Rochester, Minnesota, MN, USA.
  • Dotan Asselmann
    Department of Research and Development, Theator Inc., Palo Alto, CA.
  • Matthew K Tollefson
    Department of Surgery, Mayo Clinic, Rochester, MN, USA.

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