The following info and data is provided "as is" to help patients around the globe.
We do not endorse or review these studies in any way.
Brief Title: Quantitative Bowel Readiness Assessment System in Predicting the Missed Detection Rate of Adenomas
Official Title: A Single-center Study of an AI-assisted Quantitative Bowel Readiness Assessment System in Predicting the Missed Detection Rate of Adenomas Under Colonoscopy
Study ID: NCT05145712
Brief Summary: To verify the correlation between the proposed artificial intelligence based bowel preparation assessment system and the missed detection rate of adenomas, and to evaluate whether the system can effectively assist doctors in identifying patients who need to be re-examined by colonoscopy due to poor intestinal cleanliness.
Detailed Description:
Minimum Age: 45 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Renmin Hospital of Wuhan University, Wuhan, Hubei, China
Name: Honggang Yu, PhD
Affiliation: Renmin Hospital of Wuhan University
Role: PRINCIPAL_INVESTIGATOR