Premium
Application of artificial intelligence in gastrointestinal endoscopy
Author(s) -
He Yi Shan,
Su Jing Ran,
Li Zhen,
Zuo Xiu Li,
Li Yan Qing
Publication year - 2019
Publication title -
journal of digestive diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.684
H-Index - 51
eISSN - 1751-2980
pISSN - 1751-2972
DOI - 10.1111/1751-2980.12827
Subject(s) - medicine , endoscopy , colonoscopy , general surgery , artificial intelligence , surgery , computer science , colorectal cancer , cancer
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.