The Feasibility of Applying Artificial Intelligence to Gastrointestinal Endoscopy to Improve the Detection Rate of Early Gastric Cancer Screening

Frontiers in Medicine

article

Xin-yu Fu¹  Xin-li Mao²  Ya-hong Chen⁵  Ning-ning You³  Ya-qi Song⁶  Li-hui Zhang⁷  Yue Cai³  Xing-nan Ye⁸  Li-ping Ye¹  Shao-wei Li² 

[1] Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University;Key Laboratory of Minimally Invasive Techniques and Rapid Rehabilitation of Digestive System Tumor of Zhejiang Province, Taizhou Hospital Affiliated to Wenzhou Medical University;Department of Gastroenterology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University;Institute of Digestive Disease, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University;Health Management Center, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University;Taizhou Hospital, Zhejiang University;Department of Gastroenterology, Renmin Hospital of Wuhan University;Taizhou Hospital of Zhejiang Province, Shaoxing University

关键词: artificial intelligence;    early gastric cancer;    screening;    improving;    application;   

DOI  :  10.3389/fmed.2022.886853

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Convolutional neural networks in the field of artificial intelligence show great potential in image recognition. It assisted endoscopy to improve the detection rate of early gastric cancer. The 5-year survival rate for advanced gastric cancer is less than 30%, while the 5-year survival rate for early gastric cancer is more than 90%. Therefore, earlier screening for gastric cancer can lead to a better prognosis. However, the detection rate of early gastric cancer in China has been extremely low due to many factors, such as the presence of gastric cancer without obvious symptoms, difficulty identifying lesions by the naked eye, and a lack of experience among endoscopists. The introduction of artificial intelligence can help mitigate these shortcomings and greatly improve the accuracy of screening. According to relevant reports, the sensitivity and accuracy of artificial intelligence trained on deep cirrocumulus neural networks are better than those of endoscopists, and evaluations also take less time, which can greatly reduce the burden on endoscopists. In addition, artificial intelligence can also perform real-time detection and feedback on the inspection process of the endoscopist to standardize the operation of the endoscopist. AI has also shown great potential in training novice endoscopists. With the maturity of AI technology, AI has the ability to improve the detection rate of early gastric cancer in China and reduce the death rate of gastric cancer related diseases in China.

【 授权许可】

CC BY