Artificial Intelligence in Laryngology, Broncho-Esophagology, and Sleep Surgery.

Journal: Otolaryngologic clinics of North America
PMID: 38719714

Abstract

Technological advancements in laryngology, broncho-esophagology, and sleep surgery have enabled the collection of increasing amounts of complex data for diagnosis and treatment of voice, swallowing, and sleep disorders. Clinicians face challenges in efficiently synthesizing these data for personalized patient care. Artificial intelligence (AI), specifically machine learning and deep learning, offers innovative solutions for processing and interpreting these data, revolutionizing diagnosis and management in these fields, and making care more efficient and effective. In this study, we review recent AI-based innovations in the fields of laryngology, broncho-esophagology, and sleep surgery.

Authors

  • Obinna I Nwosu
    Department of Otolaryngology-Head & Neck Surgery, Massachusetts Eye & Ear, Boston, Massachusetts, U.S.A.
  • Matthew R Naunheim
    Division of Laryngology, Department of Otolaryngology - Head and Neck Surgery, Massachusetts Eye and Ear and Harvard Medical School, Boston, Massachusetts, U.S.A.

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