← Back to Search

Artificial Intelligence

Real-Time Feedback AI for Colonoscopy Quality Improvement

N/A
Recruiting
Led By Piet de Groen, MD
Research Sponsored by University of Minnesota
Eligibility Criteria Checklist
Specific guidelines that determine who can or cannot participate in a clinical trial
Must have
- Any endoscopist willing to parcipate and performing routine colonscopy
Be older than 18 years old
Timeline
Screening 3 weeks
Treatment Varies
Follow Up 5 months post procedure
Awards & highlights
No Placebo-Only Group

Summary

This trial tests if giving doctors timely feedback during endoscopic exams can improve the quality of these procedures for patients.

Who is the study for?
This trial is for any endoscopist who is willing to participate and performs routine colonoscopy procedures. Specific details on exclusion criteria are not provided, but typically these would include factors that could interfere with the study or the safety of participants.
What is being tested?
The trial is testing an AI program designed to provide real-time feedback during colonoscopies. The goal is to see if this technology can improve the quality of endoscopic examinations potentially leading to better outcomes in colorectal cancer screening.
What are the potential side effects?
Since this trial involves a non-invasive AI tool rather than a drug or medical procedure, traditional side effects are not expected. However, there may be indirect effects related to changes in how endoscopists perform colonoscopies.

Eligibility Criteria

Inclusion Criteria

You may be eligible if you check “Yes” for the criteria below

Timeline

Screening ~ 3 weeks
Treatment ~ Varies
Follow Up ~5 months post procedure
This trial's timeline: 3 weeks for screening, Varies for treatment, and 5 months post procedure for reporting.

Treatment Details

Study Objectives

Study objectives can provide a clearer picture of what you can expect from a treatment.
Primary study objectives
Adenoma Detection Rate

Awards & Highlights

No Placebo-Only Group
All patients enrolled in this study will receive some form of active treatment.

Trial Design

2Treatment groups
Experimental Treatment
Group I: Testing of degree of mucosal inspectionExperimental Treatment1 Intervention
AI provides real-time feedback related to circumferential views during endoscope removal
Group II: Testing of clearing of fecal debrisExperimental Treatment1 Intervention
AI provides real-time feedback related to removal of remaining fecal debris

Research Highlights

Information in this section is not a recommendation. We encourage patients to speak with their healthcare team when evaluating any treatment decision.
Mechanism Of Action
Side Effect Profile
Prior Approvals
Other Research
The most common treatments for colorectal cancer include chemotherapy, radiotherapy, and surgical interventions. Chemotherapy uses drugs to kill or inhibit the growth of cancer cells, radiotherapy employs high-energy radiation to damage the DNA of cancer cells, and surgical interventions aim to remove the tumor and affected tissues. These treatments are essential as they directly target cancer cells, aiming to reduce tumor size, prevent metastasis, and improve survival rates. Real-time feedback in procedures like colonoscopy can enhance the detection and removal of precancerous polyps, preventing the progression to colorectal cancer.
Brazilian society of surgical oncology: Guidelines for the surgical treatment of mid-low rectal cancer.A Multidisciplinary Approach for the Personalised Non-Operative Management of Elderly and Frail Rectal Cancer Patients Unable to Undergo TME Surgery.Readiness for cancer rehabilitation in Denmark: protocol for a cross-sectional mixed methods study.

Find a Location

Who is running the clinical trial?

University of MinnesotaLead Sponsor
1,423 Previous Clinical Trials
1,615,635 Total Patients Enrolled
University of WashingtonOTHER
1,812 Previous Clinical Trials
1,909,651 Total Patients Enrolled
Johns Hopkins UniversityOTHER
2,321 Previous Clinical Trials
14,869,791 Total Patients Enrolled
~1083 spots leftby Nov 2025