Artificial intelligence in pediatric otolaryngology: A state-of-the-art review of opportunities and pitfalls.

Journal: International journal of pediatric otorhinolaryngology
Published Date: Jul 1, 2025

Abstract

BACKGROUND: Artificial Intelligence (AI) and machine learning (ML) have transformative potential in enhancing diagnostics, treatment planning, and patient management. However, their application in pediatric otolaryngology remains limited as the unique physiological and developmental characteristics of children require tailored AI applications, highlighting a gap in knowledge.

Authors

  • Nithya Navarathna
    Department of Otorhinolaryngology-Head and Neck Surgery, University of Maryland School of Medicine, Baltimore, MD, USA; University of Maryland Institute for Health Computing, Bethesda, MD, USA.
  • Adway Kanhere
    Department of Otorhinolaryngology-Head and Neck Surgery, University of Maryland School of Medicine, Baltimore, MD, USA; University of Maryland Institute for Health Computing, Bethesda, MD, USA.
  • Charlyn Gomez
    Department of Otorhinolaryngology-Head and Neck Surgery, University of Maryland School of Medicine, Baltimore, MD, USA.
  • Amal Isaiah
    Department of Otorhinolaryngology-Head and Neck Surgery, University of Maryland School of Medicine, Baltimore, MD, USA; University of Maryland Institute for Health Computing, Bethesda, MD, USA; Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA; Department of Pediatrics, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: AIsaiah@som.umaryland.edu.

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