An automated approach for real-time informative frames classification in laryngeal endoscopy using deep learning.

Journal: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
PMID: 38698163

Abstract

PURPOSE: Informative image selection in laryngoscopy has the potential for improving automatic data extraction alone, for selective data storage and a faster review process, or in combination with other artificial intelligence (AI) detection or diagnosis models. This paper aims to demonstrate the feasibility of AI in providing automatic informative laryngoscopy frame selection also capable of working in real-time providing visual feedback to guide the otolaryngologist during the examination.

Authors

  • 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.
  • Claudio Sampieri
    Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
  • Alessandro Ioppi
    Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
  • Laura Ruiz-Sevilla
    Otorhinolaryngology Head-Neck Surgery Department, Hospital Universitari Joan XXIII de Tarragona, Tarragona, Spain.
  • Isabel Vilaseca
    Functional Unit of Head and Neck Tumors, Hospital Clínic, Barcelona, Spain.
  • Berta Alegre
    Department of Otolaryngology, Hospital Clínic, C. de Villarroel, 170, 08029, Barcelona, Spain.
  • Alessandro Tirrito
    Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
  • Alessia Pennacchi
    Unit of Otorhinolaryngology-Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
  • Giorgio Peretti
    Università degli Studi di Genova, 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

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