Artificial intelligence-aided optical biopsy improves the diagnosis of esophageal squamous neoplasm.

Journal: World journal of gastroenterology
PMID: 40248066

Abstract

BACKGROUND: Early detection of esophageal squamous neoplasms (ESN) is essential for improving patient prognosis. Optical diagnosis of ESN remains challenging. Probe-based confocal laser endomicroscopy (pCLE) enables accurate histological observation and optical biopsy of ESN. However, interpretation of pCLE images requires histopathological expertise and extensive training. Artificial intelligence (AI) has been widely applied in digestive endoscopy; however, AI for pCLE diagnosis of ESN has not been reported.

Authors

  • Tian Ma
    Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, University of South China, Hengyang 421001, China.
  • Guan-Qun Liu
    Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan 250012, Shandong Province, China.
  • Jing Guo
    College of Chemical Engineering, Department of Pharmaceutical Engineering, Northwest University, Xi'an, Shaanxi, China.
  • Rui Ji
    School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.
  • Xue-Jun Shao
    Qingdao Medicon Digital Engineering Company Limited, Qingdao 266000, Shandong Province, China.
  • Yan-Qing Li
    Department of Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.
  • Zhen Li
    PepsiCo R&D, Valhalla, NY, United States.
  • Xiu-Li Zuo
    Department of Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.

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