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

Journal: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Published Date:

Abstract

OBJECTIVE: The endoscopic and laryngoscopic examination is paramount for laryngeal, oropharyngeal, nasopharyngeal, nasal, and oral cavity benign lesions and cancer evaluation. Nevertheless, upper aerodigestive tract (UADT) endoscopy is intrinsically operator-dependent and lacks objective quality standards. At present, there has been an increased interest in artificial intelligence (AI) applications in this area to support physicians during the examination, thus enhancing diagnostic performances. The relative novelty of this research field poses a challenge both for the reviewers and readers as clinicians often lack a specific technical background.

Authors

  • Claudio Sampieri
    Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
  • Chiara Baldini
    Rheumatology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Italy. chiara.baldini74@gmail.com.
  • Muhammad Adeel Azam
    Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy.
  • Sara Moccia
    Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, Italy; Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy. Electronic address: sara.moccia@iit.it.
  • Leonardo S Mattos
  • Isabel Vilaseca
    Functional Unit of Head and Neck Tumors, Hospital ClĂ­nic, Barcelona, Spain.
  • Giorgio Peretti
    UniversitĂ  degli Studi di Genova, Genoa, Italy.
  • Alessandro Ioppi
    Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.