How reliable is artificial intelligence in the diagnosis of cholesteatoma on CT images?

Journal: American journal of otolaryngology
Published Date: Nov 28, 2024

Abstract

PURPOSE: This study analysed the main artificial intelligence (AI) models for the diagnosis of cholesteatoma on computed tomography (CT), evaluating their performance and comparing them with each other. The increasing application of AI in radiology requires a systematic comparison of available methodologies.

Authors

  • Avallone Emilio
    Klinik und Poliklinik für Hals-, Nasen- und Ohrenheilkunde, Medizinische Hochschule Hannover, Germany. Electronic address: emilioavallone@gmail.com.
  • Pietro De Luca
    Otolaryngology Department, Isola Tiberina, Gemelli Isola Hospital, Rome, Italy.
  • Timm Max
    Klinik und Poliklinik für Hals-, Nasen- und Ohrenheilkunde, Medizinische Hochschule Hannover, Germany.
  • Siani Agnese
    Radiology Department, Maggiore della Carità Hospital, 28100 Novara, Italy.
  • Viola Pasquale
    Department of Experimental and Clinical Medicine, Unit of Audiology, Regional Centre for Cochlear Implants and ENT Diseases, Magna Graecia University, Catanzaro, Italy.
  • Ralli Massimo
    Department of Sense Organs, Sapienza University Rome, Rome, Italy.
  • Chiarella Giuseppe
    Department of Experimental and Clinical Medicine, Unit of Audiology, Regional Centre for Cochlear Implants and ENT Diseases, Magna Graecia University, Catanzaro, Italy.
  • Ricciardiello Filippo
    Ear, Nose, and Throat Unit, AORN "Antonio Cardarelli", 80131 Naples, Italy.
  • Salzano Francesco Antonio
    Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy.
  • Scarpa Alfonso
    Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy.

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