Convolutional neural network-based artificial intelligence for the diagnosis of early esophageal cancer based on endoscopic images: A meta-analysis.

Journal: Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association
Published Date: Jan 1, 2022

Abstract

BACKGROUND: Early screening and treatment of esophageal cancer (EC) is particularly important for the survival and prognosis of patients. However, early EC is difficult to diagnose by a routine endoscopic examination. Therefore, convolutional neural network (CNN)-based artificial intelligence (AI) has become a very promising method in the diagnosis of early EC using endoscopic images. The aim of this study was to evaluate the diagnostic performance of CNN-based AI for detecting early EC based on endoscopic images.

Authors

  • Hongbiao Ma
    Department of Thoracic Surgery, Chongqing General Hospital, No.118, Xingguang Avenue, Liangjiang New Area, Chongqing, China.
  • Longlun Wang
    Department of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China.
  • Yinlin Chen
    Department of Thoracic Surgery, Chongqing General Hospital, No.118, Xingguang Avenue, Liangjiang New Area, Chongqing, China.
  • Lu Tian
    Department of Health, Research & Policy, Stanford University, Stanford, CA, USA.

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