Application of artificial intelligence for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging

被引：6
作者：
Horiuchi, Yusuke [1 ,2 ]
Hirasawa, Toshiaki [1 ]
Fujisaki, Junko [1 ]
机构：
[1] Japanese Fdn Canc Res, Dept Gastroenterol, Canc Inst Hosp, Tokyo, Japan
[2] Japanese Fdn Canc Res, Dept Gastroenterol, Canc Inst Hosp, 3-8-31 Ariake,Koto Ku, Tokyo 1358550, Japan
来源：
CLINICAL ENDOSCOPY | 2024年 / 57卷 / 01期
关键词：
Artificial intelligence; Diagnosis; Diagnostic techniques and procedures; Endoscopy; Stomach neoplasms; CONVOLUTIONAL NEURAL-NETWORK; SYSTEM;
D O I：
10.5946/ce.2023.173
中图分类号：
R57 [消化系及腹部疾病];
学科分类号：
摘要：
Although magnifying endoscopy with narrow-band imaging is the standard diagnostic test for gastric cancer, diagnosing gastric cancer using this technology requires considerable skill. Artificial intelligence has superior image recognition, and its usefulness in endoscopic image diagnosis has been reported in many cases. The diagnostic performance (accuracy, sensitivity, and specificity) of artificial intelligence using magnifying endoscopy with narrow band still images and videos for gastric cancer was higher than that of expert endoscopists, suggesting the usefulness of artificial intelligence in diagnosing gastric cancer. Histological diagnosis of gastric cancer using artificial intelligence is also promising. However, previous studies on the use of artificial intelligence to diagnose gastric cancer were smallscale; thus, large-scale studies are necessary to examine whether a high diagnostic performance can be achieved. In addition, the diagnosis of gastric cancer using artificial intelligence has not yet become widespread in clinical practice, and further research is necessary. Therefore, in the future, artificial intelligence must be further developed as an instrument, and its diagnostic performance is expected to improve with the accumulation of numerous cases nationwide.
引用
收藏
页码：11 / 17
页数：7
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