Current status and future perspective of artificial intelligence applications in endoscopic diagnosis and management of gastric cancer

被引：23

作者：

Hirasawa, Toshiaki ^{[1
]}

Ikenoyama, Yohei ^{[1
]}

Ishioka, Mitsuaki ^{[1
]}

Namikawa, Ken ^{[1
]}

Horiuchi, Yusuke ^{[1
]}

Nakashima, Hirotaka ^{[2
]}

Fujisaki, Junko ^{[1
]}

机构：

[1] Japanese Fdn Canc Res, Canc Inst Hosp, Dept Gastroenterol, Tokyo, Japan

[2] Fdn Detect Early Gastr Carcinoma, Tokyo, Japan

来源：

DIGESTIVE ENDOSCOPY | 2021年 / 33卷 / 02期

关键词：

artificial intelligence; deep learning; endoscopic detection; endoscopy; gastric cancer; Helicobacter pylori; HELICOBACTER-PYLORI INFECTION; CONVOLUTIONAL NEURAL-NETWORK; MULTICENTER; ACCURACY;

D O I：

10.1111/den.13890

中图分类号：

R57 [消化系及腹部疾病];

学科分类号：

摘要：

Image recognition using artificial intelligence (AI) has progressed significantly due to innovative technologies such as machine learning and deep learning. In the field of gastric cancer (GC) management, research on AI-based diagnosis such as anatomical classification of endoscopic images, diagnosis of Helicobacter pylori infection, and detection and qualitative diagnosis of GC is being conducted, and an accuracy equivalent to that of physicians has been reported. It is expected that AI will soon be introduced in the field of endoscopic diagnosis and management of gastric cancer as a supportive tool for physicians, thus improving the quality of medical care.

引用

页码：263 / 272

页数：10

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