Generalizability of Artificial Intelligence Assessments in Laparoscopic Surgery Simulation.

Journal: The Journal of surgical research
Published Date: Apr 24, 2025

Abstract

INTRODUCTION: The application of artificial intelligence (AI) in the assessment of procedural skills on a simulation platform using the global rating scale (GRS) has shown promise. Our team developed an open-source, low-cost simulation platform for the development of laparoscopic skills in low-resource settings, with skill assessment provided by video-based peer review and AI. The generalizability of AI trained on one procedure to evaluate general procedural skills within a single training system is unknown. This study examines the feasibility of generalizing AI-based assessments across procedures in a training system.

Authors

  • Erin Kim
    University of Michigan, Ann Arbor, Michigan.
  • Lindsay S Rosenthal
    University of Michigan, Ann Arbor, Michigan.
  • C Yoonhee Ryder
    University of Michigan, Ann Arbor, Michigan.
  • Chioma Anidi
    University of Michigan, Ann Arbor, Michigan.
  • Serena S Bidwell
    University of Michigan, Ann Arbor, Michigan.
  • Deborah M Rooney
    Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan.
  • Joon Yu
    Department of Surgery, University of Michigan, Ann Arbor, Michigan.
  • Paweł Forczmański
    Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, Szczecin, Poland.
  • David R Jeffcoach
    Department of Surgery, University of California San Francisco Fresno, Fresno, California.
  • Grace J Kim
    Department of Rehabilitation Medicine, NewYork-Presbyterian/Weill Cornell Medical Center, New York, NY. Electronic address: grk9006@nyp.org.

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