Current Evidence and Future Perspective of Accuracy of Artificial Intelligence Application for Early Gastric Cancer Diagnosis With Endoscopy: A Systematic and Meta-Analysis

• Published in: Frontiers in medicine Vol. 8; p. 629080
• Main Authors: Jiang, Kailin, Jiang, Xiaotao, Pan, Jinglin, Wen, Yi, Huang, Yuanchen, Weng, Senhui, Lan, Shaoyang, Nie, Kechao, Zheng, Zhihua, Ji, Shuling, Liu, Peng, Li, Peiwu, Liu, Fengbin
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 15.03.2021
• Subjects: artificial intelligence; deep learning; early gastric cancer; endoscopy; machine learning; Medicine; deep learning; endoscopy; machine learning; artificial intelligence; early gastric cancer

Background & Aims: Gastric cancer is the common malignancies from cancer worldwide. Endoscopy is currently the most effective method to detect early gastric cancer (EGC). However, endoscopy is not infallible and EGC can be missed during endoscopy. Artificial intelligence (AI)-assisted endoscopic...