摘要
With the appearance and prevalence of deep learning,artificial intelligence(AI)has been broadly studied and made great progress in various fields of medicine,including gastroenterology.Helicobacter pylori(H.pylori),closely associated with various digestive and extradigestive diseases,has a high infection rate worldwide.Endoscopic surveillance can evaluate H.pylori infection situations and predict the risk of gastric cancer,but there is no objective diagnostic criteria to eliminate the differences between operators.The computer-aided diagnosis system based on AI technology has demonstrated excellent performance for the diagnosis of H.pylori infection,which is superior to novice endoscopists and similar to skilled.Compared with the visual diagnosis of H.pylori infection by endoscopists,AI possesses voluminous advantages:High accuracy,high efficiency,high quality control,high objectivity,and high-effect teaching.This review summarizes the previous and recent studies on AI-assisted diagnosis of H.pylori infection,points out the limitations,and puts forward prospect for future research.
基金
National Natural Science Foundation of China,No.81770535 and No.81970470.
