Analyzing Surgical Technique in Diverse Open Surgical Videos With Multitask Machine Learning.

Journal: JAMA surgery
PMID: 38055227

Abstract

OBJECTIVE: To overcome limitations of open surgery artificial intelligence (AI) models by curating the largest collection of annotated videos and to leverage this AI-ready data set to develop a generalizable multitask AI model capable of real-time understanding of clinically significant surgical behaviors in prospectively collected real-world surgical videos.

Authors

  • Emmett D Goodman
    Department of Computer Science, Stanford University, Stanford, California.
  • Krishna K Patel
    Icahn School of Medicine at Mount Sinai, New York, New York, USA. Electronic address: Krishna.Patel5@mountsinai.org.
  • Yilun Zhang
    School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • William Locke
    Department of Computer Science, Stanford University, Stanford, California.
  • Chris J Kennedy
    Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts.
  • Rohan Mehrotra
    Department of Computer Science, Stanford University, Stanford, California.
  • Stephen Ren
    Department of Computer Science, Stanford University, Stanford, California.
  • Melody Guan
    Department of Computer Science, Stanford University, Stanford, California.
  • Orr Zohar
    Department of Biomedical Data Science, Stanford University, Stanford, California.
  • Maren Downing
    Department of Surgery, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
  • Hao Wei Chen
    Department of Surgery, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
  • Jevin Z Clark
    Department of Surgery, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
  • Margaret T Berrigan
    Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA.
  • Gabriel A Brat
    American College of Surgeons Health Information Technology Committee and Artificial Intelligence Subcommittee, Chicago, IL.
  • Serena Yeung-Levy
    Stanford University, Stanford, CA, USA.

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