View in EDS

A Novel Convolutional Neural Network Model as an Alternative Approach to Bowel Preparation Evaluation Before Colonoscopy in the COVID-19 Era: A Multicenter, Single-Blinded, Randomized Study.

Saved in:
Bibliographic Details
Title: A Novel Convolutional Neural Network Model as an Alternative Approach to Bowel Preparation Evaluation Before Colonoscopy in the COVID-19 Era: A Multicenter, Single-Blinded, Randomized Study.
Authors: Lu YB; Department of Digestive Disease, Xiamen Chang Gung Hospital, Fujian, China., Lu SC; Department of Gastroenterology, Shenzhen Hospital, Southern Medical University, Shenzhen, China., Huang YN; Department of Digestive Disease, Xiamen Chang Gung Hospital, Fujian, China., Cai ST; Department of Gastroenterology, Zhongshan Hospital affiliated to Xiamen University, Xiamen, China., Le PH; Department of Gastroenterology and Hepatology, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan., Hsu FY; Department of Gastroenterology and Hepatology, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan., Hu YX; Xiamen Innovision Medical Technology Co. , Ltd, Xiammen, Fujian., Hsieh HS; Department of Otolaryngology-Head and Neck Surgery, Sleep Center, Xiamen Chang Gung Hospital, Xiamen, Fujian, China ., Chen WT; Department of Gastroenterology and Hepatology, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan., Xia GL; Department of Gastroenterology, Shenzhen Hospital, Southern Medical University, Shenzhen, China., Xu HZ; Department of Gastroenterology, Zhongshan Hospital affiliated to Xiamen University, Xiamen, China., Gong W; Department of Gastroenterology, Shenzhen Hospital, Southern Medical University, Shenzhen, China.
Source: The American journal of gastroenterology [Am J Gastroenterol] 2022 Sep 01; Vol. 117 (9), pp. 1437-1443. Date of Electronic Publication: 2022 Jul 04.
Publication Type: Journal Article; Multicenter Study; Randomized Controlled Trial; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wolters Kluwer Health Country of Publication: United States NLM ID: 0421030 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1572-0241 (Electronic) Linking ISSN: 00029270 NLM ISO Abbreviation: Am J Gastroenterol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1572-0241
DOI:10.14309/ajg.0000000000001900