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- Title
Application of artificial intelligence in gastrointestinal endoscopy.
- Authors
He, Yi Shan; Su, Jing Ran; Li, Zhen; Zuo, Xiu Li; Li, Yan Qing
- Abstract
With recent significant improvements in artificial intelligence (AI), especially in the field of deep learning, an increasing number of studies have evaluated the use of AI in endoscopy to detect and diagnose gastrointestinal (GI) lesions. The present review summarizes current publications on the use of AI in GI endoscopy and focuses on the challenges and future of AI‐aided systems. We expect AI to provide an effective and practical method for endoscopists in lesion detection and characterization as well as in quality control in endoscopy. However, so far, most studies have remained at the preclinical stage. More attention should be paid in the future to the use of AI in real‐life clinical applications.
- Subjects
ARTIFICIAL intelligence; QUALITY control; DEEP learning; ENDOSCOPY
- Publication
Journal of Digestive Diseases, 2019, Vol 20, Issue 12, p623
- ISSN
1751-2972
- Publication type
Article
- DOI
10.1111/1751-2980.12827