Artificial intelligence assisted endocytoscopy: A novel eye in endoscopy  

作　　者：Monika Peshevska-Sekulovska Tsvetelina Veselinova Velikova Milena Peruhova 

机构地区：[1]Department of Gastroenterology,University Hospital Lozenetz,Sofia 1407,Bulgaria [2]Department of Clinical Immunology,University Hospital Lozenetz,Sofia 1407,Bulgaria [3]Medical Faculty,Sofia University,St.Kliment Ohridski,Sofia 1407,Bulgaria

出　　处：《Artificial Intelligence in Gastrointestinal Endoscopy》2020年第3期44-52,共9页胃肠道内窥镜检查中的人工智能（英文）

摘　　要：Over the past few years,emerging new approaches in endoscopic imaging technologies facilitate a high-quality assessment of lesions found in the gastrointestinal(GI)tract.Endocytoscopy(EC),as a novel tool in endoscopy,aids the more accurate evaluation of superficial mucosal surface.This review article aims to represent the most relevant information related to the latest EC technology and its clinical application in the lower GI tract diagnostic.We discuss EC-computer-aided diagnosis capability to differentiate between non-neoplastic and neoplastic lesion that offers a closer look to in-vivo assessment and diagnosis of cancerous tissue.Nevertheless,artificial-assisted EC diagnostics could also be employed with benefits in patients with inflammatory bowel disease(IBD)by accurately highlighting the presence of mucosal injury.In our review we included those studies comprising data about colonoscopy with narrow banding imaging and computer-aided diagnosis,as well as EC.Last but not least,artificial-assisted EC facilitates in-vivo diagnosis of the lower GI tract and may,in the future,remodel the field of in-vivo endoscopic diagnosis of colorectal lesions,representing another step towards the so-called optical biopsy.

关 键 词：Endoscopic imaging ENDOCYTOSCOPY Artificial intelligence Artificial intelligence-assisted endoscopy Colorectal cancer Optical histology 

分 类 号：R57[医药卫生—消化系统]