Clin2
NCT05894850Possibly a fitNot yet recruiting

Automatic tracking system to improve follow-up after colon polyp removal

Artificial IntelligenceSurveillance

Part of Digestive system clinical trials.

This trial tests whether an automated monitoring system can improve how often people come back for the recommended follow-up colonoscopy after polyp removal. It may help reduce missed or delayed follow-up care by keeping the right people on schedule.

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

Phase
N/A
Enrollment
1,644 people
Ages
18 years and older
Study type
Interventional

Who can take part

  • You are age 18 or older and are having a colonoscopy.
  • You will have a pathology (tissue test) result after the procedure.
  • Your follow-up time interval can be determined from standard guidelines.
  • You have valid contact information (so the study team can reach you).
  • You are not pregnant.
  • You have not joined another clinical trial during an active surveillance period.

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.

NCT05751824Not yet recruiting
Automatic system check-ins after colon polyp removal

This trial tests whether an automatic reminder/surveillance system helps people who had polyps removed get the right follow-up colonoscopy on time. It aims to improve the percentage of patients who complete recommended follow-up visits.

Jiangmen, Guangdong
NCT06039917Recruiting
Automatic reminders for stomach precancer follow-up

This study tests whether an automatic reminder system can help more people with stomach precancerous changes get the follow-up checks they need after an upper endoscopy. The goal is to see if the system improves how often patients return for surveillance.

Quanzhou, Fujian
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.

NCT06406062Recruiting
AI-assisted colonoscopy study

This trial tests an artificial intelligence (AI) system during colonoscopy to help doctors see polyps or other issues more clearly. It may help improve detection of problems in the colon.

Wuhan, Hubei
NCT06957015Recruiting
New system to measure polyp size during colonoscopy

This trial tests a new computer system that helps doctors estimate the size of polyps during a colonoscopy. It may help doctors make better decisions about your treatment.

Shatin
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

Hear when a new Surveillance trial opens

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