A microdiscectomy surgical video annotation framework for supervised machine learning applications.

Journal: International journal of computer assisted radiology and surgery
PMID: 39028480

Abstract

PURPOSE: Lumbar discectomy is among the most common spine procedures in the US, with 300,000 procedures performed each year. Like other surgical procedures, this procedure is not excluded from potential complications. This paper presents a video annotation methodology for microdiscectomy including the development of a surgical workflow. In future work, this methodology could be combined with computer vision and machine learning models to predict potential adverse events. These systems would monitor the intraoperative activities and possibly anticipate the outcomes.

Authors

  • Kochai Jan Jawed
    Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC, USA. kjawed@childrensnational.org.
  • Ian Buchanan
    Department of Neurological Surgery, Keck School of Medicine of University of Southern California, 1200 North State St., Suite 3300, Los Angeles, CA, 90033, USA.
  • Kevin Cleary
  • Elizabeth Fischer
    Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC, USA.
  • Aaron Mun
    Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC, USA.
  • Nishanth Gowda
    The George Washington University School of Medicine, Washington, DC, USA.
  • Arhum Naeem
    The George Washington University School of Medicine, Washington, DC, USA.
  • Recai Yilmaz
    Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
  • Daniel A Donoho
    Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA; Division of Neurosurgery, Department of Surgery, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas, USA.

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