Application of artificial intelligence using a convolutional neural network for detecting cholesteatoma in endoscopic enhanced images.

Journal: Auris, nasus, larynx
Published Date: Feb 1, 2022

Abstract

OBJECTIVE: We examined whether artificial intelligence (AI) used with the novel digital image enhancement system modalities (CLARA+CHROMA, SPECTRA A, and SPECTRA B) could distinguish the cholesteatoma matrix, cholesteatoma debris, and normal middle ear mucosa, and observe the middle ear cavity during middle ear cholesteatoma surgery.

Authors

  • Toru Miwa
    Department of Otolaryngology-Head and Neck Surgery, Kitano Hospital, Tazuke Kofukai Medical Research Institute, Osaka, Japan; Department of Otolaryngology-Head and Neck Surgery, Kyoto University, Kyoto, Japan; Otolaryngology-Head and Neck Surgery, JCHO Kumamoto General Hospital, Yatsushiro, Japan. Electronic address: t-miwa@kitano-hp.or.jp.
  • Ryosei Minoda
    Otolaryngology-Head and Neck Surgery, JCHO Kumamoto General Hospital, Yatsushiro, Japan.
  • Tomoya Yamaguchi
    Department of Otolaryngology-Head and Neck Surgery, Kitano Hospital, Tazuke Kofukai Medical Research Institute, Osaka, Japan.
  • Shin-Ichiro Kita
    Department of Otolaryngology-Head and Neck Surgery, Kitano Hospital, Tazuke Kofukai Medical Research Institute, Osaka, Japan.
  • Kazuto Osaka
    Department of Otolaryngology-Head and Neck Surgery, Kitano Hospital, Tazuke Kofukai Medical Research Institute, Osaka, Japan.
  • Hiroki Takeda
    Department of Otolaryngology-Head and Neck Surgery, Kumamoto University, Kumamoto, Japan.
  • Shin-Ichi Kanemaru
    Department of Otolaryngology-Head and Neck Surgery, Kitano Hospital, Tazuke Kofukai Medical Research Institute, Osaka, Japan.
  • Koichi Omori
    Department of Otolaryngology-Head and Neck Surgery, Kyoto University, Kyoto, Japan.

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