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Surgical Innovation
September 11, 2019

Explainable Artificial Intelligence for Safe Intraoperative Decision Support

Author Affiliations
  • 1International Centre for Surgical Safety, Li Ka Shing Knowledge Institute of St Michael’s Hospital, Toronto, Ontario, Canada
  • 2Department of Surgery, University of Toronto, Toronto, Ontario, Canada
  • 3Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
JAMA Surg. Published online September 11, 2019. doi:10.1001/jamasurg.2019.2821

Intraoperative adverse events are a common and important cause of surgical morbidity.1,2 Strategies to reduce adverse events and mitigate their consequences have traditionally focused on surgical education, structured communication, and adverse event management. However, until now, little could be done to anticipate these events in the operating room. Advances in both data capture in the operating room and explainable artificial intelligence (XAI) techniques to process these data open the way for real-time clinical decision support tools that can help surgical teams anticipate, understand, and prevent intraoperative events.

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