Development of Machine Learning Copilot to Assist Novices in Learning Flexible Laryngoscopy.

Journal: The Laryngoscope
PMID: 39363661

Abstract

OBJECTIVES: Here we describe the development and pilot testing of the first artificial intelligence (AI) software "copilot" to help train novices to competently perform flexible fiberoptic laryngoscopy (FFL) on a mannikin and improve their uptake of FFL skills.

Authors

  • Mattea E Miller
    Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Dan Witte
    Perceptron Health, Inc, New York, New York, U.S.A.
  • Ioan Lina
    Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • Jonathan Walsh
    Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Anaïs Rameau
    Department of Otolaryngology - Head and Neck Surgery, Sean Parker Institute for the Voice, Weill Cornell Medical College, New York, New York, U.S.A.
  • Nasir I Bhatti
    Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.

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