Using AI to predict polyp pathology during colonoscopy

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to evaluate the effectiveness of a real-time artificial intelligence model in diagnosing colorectal polyp pathology and classifying polyps during colonoscopy. By utilizing various endoscopic classification methods, the study seeks to improve the accuracy of optical diagnosis, potentially reducing unnecessary procedures and the economic burden on patients. The study will involve outpatients and inpatients undergoing routine colonoscopy screening at multiple centers, focusing on enhancing the training and application of endoscopic techniques. The goal is to streamline the diagnostic process and improve patient outcomes.

Why it matters

Who can join: the full rules

Inclusion Criteria:

1. Outpatients or inpatients undergoing routine colonoscopy screening at the endoscopy centers of multicenter hospitals;
2. Aged 18 years or older;
3. Have understanding of the study content and have signed the informed consent form.

Exclusion Criteria:

1. Gastroparesis or gastric outlet obstruction;
2. Known or suspected intestinal obstruction or perforation;
3. Severe chronic renal failure (creatinine clearance less than 30 mL/minute);
4. Severe congestive heart failure (New York Heart Association Class III or IV);
5. Currently pregnant or breastfeeding;
6. Toxic colitis or megacolon;
7. Poorly controlled hypertension (systolic blood pressure greater than 180 mmHg and/or diastolic blood pressure greater than 100 mmHg);
8. Moderate or massive active gastrointestinal bleeding (\>100 mL/day);
9. Significant psychiatric or psychological illness;
10. Allergy to medications used for bowel preparation;
11. Patients who have undergone colorectal surgery.

Where it's running

• Peking Union Medical College Hospital
  Beijing, China Recruiting

Study contacts

• Principal investigator: Dong Wu, MD — Peking Union Medical College Hospital
• Study coordinator: Wenmo Hu, MD
• Email: huwenmo1995@126.com
• Phone: 86+15101581963

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.