Clin2
NCT07150130Possibly a fitNot yet recruiting

AI system to check bowel cleanliness during colonoscopy

Colorectal Adenoma

Part of Digestive system clinical trials.

This trial tests an artificial intelligence system that helps doctors assess how clean the bowel is during a colonoscopy. It uses video from the colonoscope to give a score, which may make colonoscopies more accurate and efficient.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
700 people
Ages
Any age
Study type
Observational

Who can take part

  • You have had a colonoscopy with clear images or videos that can be scored for bowel cleanliness.
  • Your colonoscopy video includes the entire withdrawal process of the colonoscope.
  • The video was recorded with a stable UPD-3 positioning system that did not have signal problems.
  • Your images were not taken during irrigation, instrument use, or with special dye (chromoendoscopy).
  • Your images were not taken from the small intestine or outside the body.

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

Similar studies

Other trials that look related to this one.

NCT06715384Recruiting
Testing a new camera tool to measure colon polyps

This trial tests a computer-assisted measurement system during a colonoscopy to see if it can more accurately measure polyps. You might consider this if you are scheduled for a routine colonoscopy for screening or monitoring.

Shanghai, Shanghai Municipality
NCT07073430Recruiting
AI tool to help diagnose precancerous colon polyps

This trial tests an artificial intelligence system that helps doctors find and diagnose tubular adenomas (a type of precancerous polyp) during colonoscopy. It may improve early detection of colorectal cancer.

Wuhan, Hubei
NCT07738484Not yet recruiting
AI-assisted detection of small colon polyps

This study tests whether an artificial intelligence program can help doctors better identify small colon polyps (growths) during a colonoscopy, potentially avoiding unnecessary removal and improving accuracy.

NCT07362524Not yet recruiting
AI-assisted colonoscopy for small polyps in non-academic hospitals

This trial tests whether AI can help doctors better identify tiny polyps (≤5mm) during a colonoscopy in non-academic hospitals. It aims to improve accuracy without needing expert training, possibly reducing unnecessary biopsies.

Nantong, Jiangsu
NCT05863208Recruiting
AI helps doctors see better during colonoscopy

This study tests whether an AI system can improve how doctors detect and evaluate findings during outpatient colonoscopies. You may be eligible if you are having a scheduled sedated colonoscopy and do not have certain bowel conditions or bleeding risks.

Kaohsiung City
NCT07273890Not yet recruiting
Real-time feedback tool for better colonoscopy vision

This trial tests a special real-time feedback system to help doctors see better during colonoscopy, which may reduce the chance of missing important findings. It is designed for patients having a routine colonoscopy at the study hospital.

Hear when a new Colorectal Adenoma trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.