Clin2
NCT05863208Possibly a fitRecruiting

AI helps doctors see better during colonoscopy

Adenoma Detection Rate

Part of Cancer, Digestive system clinical trials.

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.

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

Phase
N/A
Enrollment
1,000 people
Ages
40 years and older
Study type
Interventional

Who can take part

  • Be 20 years of age or older
  • You are having an outpatient sedated colonoscopy at one of the listed hospitals in Taiwan
  • You have no history of inflammatory bowel disease (such as Crohn’s or ulcerative colitis)
  • You have no history of colorectal cancer or prior bowel surgery
  • You do not have certain inherited polyp syndromes (like Peutz-Jeghers or familial adenomatous polyposis)
  • You do not have a bleeding tendency and you are not coming for planned endoscopic treatment

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.

NCT06656312Recruiting
EndoAim AI for colon polyp detection

This study tests an artificial intelligence (AI) system called EndoAim that helps doctors find polyps during a colonoscopy. It is for people having a routine colonoscopy with an Olympus endoscope.

Taichung, North Dist.
NCT07849881Not yet recruiting
AI help for doctors during colonoscopy

This trial uses artificial intelligence to help doctors better identify and pinpoint where they are in your colon during a colonoscopy. It may improve the accuracy of the procedure.

NCT07307547Not yet recruiting
Artificial intelligence during colonoscopy to help find growths

This study tests whether an artificial intelligence (AI) helper can help doctors find precancerous growths (called polyps) during a routine colonoscopy. If you are having a colonoscopy anyway, this may help detect polyps that could become cancer later.

Hangzhou, Zhejiang
NCT07066046Recruiting
AI-assisted colonoscopy for finding colorectal lesions

This trial tests whether artificial intelligence can help doctors better detect and classify growths in the colon during a colonoscopy. You may benefit from potentially more accurate results.

São Paulo, São Paulo
NCT06773832Recruiting
AI to help doctors find polyps during colonoscopy

This trial uses artificial intelligence to help doctors better identify and classify polyps during a routine colonoscopy. It may lead to more accurate detection and fewer missed abnormalities.

Beijing
NCT06786793Recruiting
AI in colonoscopy screening study

This study tests whether artificial intelligence can help doctors find polyps or other issues during a colonoscopy. It may lead to better detection and earlier treatment.

Krakow, Lesser Poladn

Hear when a new Adenoma Detection Rate trial opens

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