Artificial intelligence based real-time video ergonomic assessment and training improves resident ergonomics.

Journal: American journal of surgery
Published Date:

Abstract

BACKGROUND: Surgery demands long hours and intense exertion raising ergonomic concerns. We piloted a sensorless artificial intelligence (AI)-assisted ergonomics analysis app to determine its feasibility for use with residents.

Authors

  • Barbara Cs Hamilton
    Department of Surgery, University of California, 505 Parnassus Avenue, San Francisco, CA, 94117, USA. Electronic address: hamiltba@med.umich.edu.
  • Mohammed I Dairywala
    Department of Cardiothoracic and Vascular Surgery, University of Texas Health Science Center, McGovern Medical School, 6400 Fannin St Suite 2850, Houston, TX, 77030, USA.
  • Alexandra Highet
    Department of Surgery, University of California, 505 Parnassus Avenue, San Francisco, CA, 94117, USA.
  • Tom C Nguyen
    Division of Adult Cardiothoracic Surgery, University of California at San Francisco, San Francisco, California.
  • Patricia O'Sullivan
    Department of Surgery, University of California San Francisco, 513 Parnassus Avenue, S-321, San Francisco, CA, 94143-0470, USA.
  • Hueylan Chern
    Department of Surgery, University of California, San Francisco, 513 Parnassus Avenue, S-321, San Francisco, CA, 94143-0470, USA.
  • Ian S Soriano
    Department of Surgery, University of California, 505 Parnassus Avenue, San Francisco, CA, 94117, USA.