Application of artificial intelligence in the endoscopic diagnosis of early gastric cancer, atrophic gastritis, and Helicobacter pylori infection

被引：7
|
作者：
Luo, Qi [1 ]
Yang, Hang [1 ]
Hu, Bing [1 ,2 ]
机构：
[1] Sichuan Univ, West China Hosp, Dept Gastroenterol, Chengdu, Sichuan, Peoples R China
[2] Sichuan Univ, West China Hosp, Dept Gastroenterol, 37 Guo Xue Alley, Chengdu 610041, Sichuan, Peoples R China
来源：
JOURNAL OF DIGESTIVE DISEASES | 2022年 / 23卷 / 12期
基金：
中国国家自然科学基金;
关键词：
artificial intelligence; atrophic gastritis; early gastric cancer; endoscopy; Helicobacter pylori; UPPER GASTROINTESTINAL ENDOSCOPY; CONVOLUTIONAL NEURAL-NETWORK; SINGLE-CENTER; MULTICENTER; INVASION; DEPTH;
D O I：
10.1111/1751-2980.13154
中图分类号：
R57 [消化系及腹部疾病];
学科分类号：
摘要：
Gastric cancer (GC) is one of the most serious health problems worldwide. Chronic atrophic gastritis (CAG) is most commonly caused by Helicobacter pylori (H. pylori) infection. Currently, endoscopic detection of early gastric cancer (EGC) and CAG remains challenging for endoscopists, and the diagnostic accuracy of H. pylori infection by endoscopy is approximately 70%. Artificial intelligence (AI) can assist endoscopic diagnosis including detection, prediction of depth of invasion, boundary delineation, and anatomical location of EGC, and has achievable diagnostic ability even comparable to experienced endoscopists. In this review we summarized various AI-assisted systems in the diagnosis of EGC, CAG, and H. pylori infection.
引用
收藏
页码：666 / 674
页数：9
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