Current role of artificial intelligence and machine learning: is their application feasible in pediatric upper airway obstructive disorders?

Journal: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
Published Date:

Abstract

PURPOSE: The aim of this article was to conduct a systematic review to evaluate the role and reliability of artificial intelligence (AI) and machine learning (ML) in the diagnosis, management, and potential treatment of pediatric upper airway obstruction (UAO).

Authors

  • Virginia Dallari
    GOS, Young Otolaryngologists Group of the Italian Society of Otorhinolaryngology-Head and Neck Surgery, Rome, Italy.
  • Marella Reale
    GOS, Young Otolaryngologists Group of the Italian Society of Otorhinolaryngology-Head and Neck Surgery, Rome, Italy.
  • Matteo Fermi
    GOS, Young Otolaryngologists Group of the Italian Society of Otorhinolaryngology-Head and Neck Surgery, Rome, Italy.
  • Cristoforo Fabbris
    GOS, Young Otolaryngologists Group of the Italian Society of Otorhinolaryngology-Head and Neck Surgery, Rome, Italy.
  • Eleonora M C Trecca
    GOS, Young Otolaryngologists Group of the Italian Society of Otorhinolaryngology-Head and Neck Surgery, Rome, Italy.

Keywords

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