Artificial Intelligence Tracking of Otologic Instruments in Mastoidectomy Videos.

Journal: Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology
PMID: 39473329

Abstract

OBJECTIVE: Develop an artificial intelligence (AI) model to track otologic instruments in mastoidectomy videos.

Authors

  • George S Liu
    Department of Otolaryngology-Head and Neck Surgery, Stanford University, Stanford, CA, USA. gliu51@jh.edu.
  • Sharad Parulekar
    Department of Otolaryngology-Head and Neck Surgery, Stanford University.
  • Melissa C Lee
    Department of Otolaryngology-Head and Neck Surgery, Stanford University.
  • Trishia El Chemaly
  • Mohamed Diop
    Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, 801 Welch Road, Palo Alto, CA 94305, USA.
  • Roy Park
    Department of Otolaryngology-Head and Neck Surgery, Stanford University.
  • Nikolas H Blevins
    Department of Otolaryngology-Head and Neck Surgery, Stanford University, Stanford, CA, USA.

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