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Artificial Intelligence for Upper Aerodigestive Tract Endoscopy and Laryngoscopy: A Guide for Physicians and State-of-the-Art Review.

Claudio SampieriChiara BaldiniMuhammad Adeel AzamSara MocciaLeonardo S MattosIsabel VilasecaGiorgio PerettiAlessandro Ioppi
Published in: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery (2023)
This article comprehensively reviews the latest developments in the application of ML and DL in UADT endoscopy and laryngoscopy, as well as their future clinical implications. The technical basis of AI is also explained, providing guidance for nonexpert readers to allow critical appraisal of the evaluation metrics and the most relevant quality requirements.
Keyphrases
  • artificial intelligence
  • small bowel
  • machine learning
  • big data
  • deep learning
  • primary care
  • current status
  • randomized controlled trial
  • quality improvement