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Current status and future perspective of artificial intelligence applications in endoscopic diagnosis and management of gastric cancer
Author(s) -
Hirasawa Toshiaki,
Ikenoyama Yohei,
Ishioka Mitsuaki,
Namikawa Ken,
Horiuchi Yusuke,
Nakashima Hirotaka,
Fujisaki Junko
Publication year - 2021
Publication title -
digestive endoscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.5
H-Index - 56
eISSN - 1443-1661
pISSN - 0915-5635
DOI - 10.1111/den.13890
Subject(s) - medicine , cancer , perspective (graphical) , artificial intelligence , helicobacter pylori , diagnostic accuracy , radiology , medical physics , intensive care medicine , gastroenterology , computer science
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.