학술논문

Endoscopic Diagnosis of Gastric Cancer Utilizing Artificial Intelligence (AI) / 胃癌の内視鏡AI診断
Document Type
Journal Article
Source
日本レーザー医学会誌 / The Journal of Japan Society for Laser Surgery and Medicine. 2022, 42(4):255
Subject
Helicobacter pylori
artificial intelligence
endoscopic detection
gastric cancer
qualitative diagnosis
ピロリ菌
人工知能
存在診断
胃癌
質的診断
Language
Japanese
ISSN
0288-6200
1881-1639
Abstract
Image recognition using artificial intelligence (AI) has made great strides due to innovations in machine learning, deep learning, and high-performance graphics processing units. Currently, it is considered that AI has exceeded human capabilities in image recognition. In the field of gastric cancer, research on AI-based diagnoses, such as anatomical classification of esophagogastroduodenoscopy images, identification of Helicobacter pylori infection, and detection and qualitative diagnosis of gastric cancer, is being performed, and accuracy equivalent to that of endoscopists has been reported. However, there are some drawbacks with the use of medical AI that make it less acceptable than existing medical devices, and there are significant hurdles before it can be introduced into clinical practice. In the near future, AI is expected to be introduced to the field of gastric cancer diagnosis and improve the quality of medical care.