Artificial Intelligence Empowers Digestive Endoscopy:Clinical Status, Challenges, Countermeasures and Future Prospects

VernacularTitle:人工智能赋能消化内镜:临床现状、挑战、对策与未来展望
Author: Qinfei XUE ¹ ; Hui ZONG ² ; Rongrong WU ² ; Xingyu LIU ² ; Bairong SHEN ² ; Rui LI ¹
Author Information

1. Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China
2. Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China
Publication Type:Journal Article
Keywords: artificial intelligence (AI); digestive endoscopy; deep learning; convolutional neural network (CNN)
From: Journal of Medical Informatics 2025;46(9):1-8
CountryChina
Language:Chinese
Abstract: Purpose/Significance To summarize the application progress of artificial intelligence (AI) in the field of digestive endoscopy, to analyze the key challenges and look forward to future trends, so as to provide guidance for clinical practice and research. Method/Process Domestic and international literature databases such as PubMed, Web of Science, and CNKI are retrieved. The application research of AI in the auxiliary diagnosis, process optimization and treatment precision of digestive endoscopy is sorted out. Result/Conclusion Although AI has significant clinical value in the field of digestive endoscopy, its application still faces major challenges, and its prospects and limitations need to be further discussed.