Artificial intelligence to detect tympanic membrane perforations.

Journal: The Journal of laryngology and otology
Published Date: Apr 1, 2020

Abstract

OBJECTIVE: To explore the feasibility of constructing a proof-of-concept artificial intelligence algorithm to detect tympanic membrane perforations, for future application in under-resourced rural settings.

Authors

  • A-R Habib
    Department of Otolaryngology - Head and Neck Surgery, Westmead Hospital, Sydney, Australia.
  • E Wong
    Department of Otolaryngology - Head and Neck Surgery, Westmead Hospital, Sydney, Australia.
  • R Sacks
    Department of Otolaryngology - Head and Neck Surgery, Concord General Hospital, University of Sydney, Australia.
  • N Singh
    Department of Otolaryngology - Head and Neck Surgery, Westmead Hospital, Sydney, Australia.

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