A Systematic Review of the Clinical Impact of Implementing Artificial Intelligence in Upper Aerodigestive Tract Endoscopy.

Journal: Head & neck
Published Date:

Abstract

BACKGROUND: Endoscopy is essential in upper aerodigestive tract (UADT) examination, particularly in the early detection of laryngopharyngeal lesions. However, UADT endoscopy remains operator-dependent and lacks standardized quality metrics. Recent advancements in artificial intelligence (AI) have generated interest in applications within UADT endoscopy. This review evaluates the clinical impact of AI in UADT endoscopy.

Authors

  • Celine M L H Wilmes
    Department of Otorhinolaryngology and Head and Neck Surgery, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Arsen Goril BSc
    Department of Otorhinolaryngology and Head and Neck Surgery, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Henri A M Marres
    Radboud University Medical Centre, Department of Otorhinolaryngology and Head and Neck Surgery, Nijmegen 6500 HB, the Netherlands.
  • David J Wellenstein
    Department of Otorhinolaryngology and Head and Neck Surgery, Rijnstate Hospital, Arnhem, the Netherlands.
  • Guido B van den Broek
    Department of Otorhinolaryngology and Head and Neck Surgery, Radboud University Medical Center, Nijmegen, the Netherlands.

Keywords

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