Harnessing AI for precision tonsillitis diagnosis: a revolutionary approach in endoscopic analysis.

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
Published Date: Sep 4, 2024

Abstract

BACKGROUND: Diagnosing and treating tonsillitis pose no significant challenge for otolaryngologists; however, it can increase the infection risk for healthcare professionals amidst the coronavirus pandemic. In recent years, with the advancement of artificial intelligence (AI), its application in medical imaging has also thrived. This research is to identify the optimal convolutional neural network (CNN) algorithm for accurate diagnosis of tonsillitis and early precision treatment.

Authors

  • Po-Hsuan Jeng
    Department of Otolaryngology-Head and Neck Surgery Tri-Service General Hospital, National Defense Medical Center, No. 325, Sec. 2, Cheng-Gong Road, Neihu District, Taipei, Taiwan 114, Republic of China.
  • Chien-Yi Yang
    Division of General Surgery, Department of Surgery Tri-Service General Hospital Songshan Branch, National Defense Medical Center, Taipei, Taiwan, Republic of China.
  • Tien-Ru Huang
    Department of Otolaryngology-Head and Neck Surgery Tri-Service General Hospital, National Defense Medical Center, No. 325, Sec. 2, Cheng-Gong Road, Neihu District, Taipei, Taiwan 114, Republic of China.
  • Chung-Feng Kuo
    Department of Material Science & Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, Republic of China.
  • Shao-Cheng Liu
    Department of Otolaryngology-Head and Neck Surgery Tri-Service General Hospital, National Defense Medical Center No. 325, Sec. 2, Cheng-Gong Road, Neihu District, Taipei 114, Taiwan.

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