| Literature DB >> 31639272 |
Yi Shan He1,2,3, Jing Ran Su1,2,3, Zhen Li1,2,3, Xiu Li Zuo1,2,3, Yan Qing Li1,2,3.
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.Entities:
Keywords: artificial intelligence; gastrointestinal endoscopy
Mesh:
Year: 2019 PMID: 31639272 DOI: 10.1111/1751-2980.12827
Source DB: PubMed Journal: J Dig Dis ISSN: 1751-2972 Impact factor: 2.325