Efficiency of endoscopic artificial intelligence in the diagnosis of early esophageal cancer.

Journal: Thoracic cancer
Published Date: Apr 29, 2024

Abstract

BACKGROUND: The accuracy of artificial intelligence (AI) and experts in diagnosing early esophageal cancer (EC) and its infiltration depth was summarized and analyzed, thus identifying the advantages of AI over traditional manual diagnosis, with a view to more accurately assisting doctors in evaluating the patients' conditions and improving their cure and survival rates.

Authors

  • Yongkang Tao
    Department of Gastroenterology, China-Japan Friendship Hospital, Beijing, China.
  • Long Fang
    Department of Gastroenterology, China-Japan Friendship Hospital, Beijing, China.
  • Geng Qin
    College of Quality and Technical Supervision, Hebei University, Baoding 071002, People's Republic of China.
  • Yingying Xu
    Division of General and Community Pediatrics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH, 45229, USA.
  • Shuang Zhang
    The Department of Ophthalmology of the First Affiliated Hospital, Gannan Medical University, Ganzhou, Jiangxi, China.
  • Xiangrong Zhang
    Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, 710071, China.
  • Shiyu Du
    Engineering Laboratory of Advanced Energy Materials, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China.

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