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Artificial Intelligence

Polyps detection by Artificial Intelligence for Adenomatous Polyps

N/A
Waitlist Available
Led By Daniel von Renteln
Research Sponsored by Centre hospitalier de l'Université de Montréal (CHUM)
Eligibility Criteria Checklist
Specific guidelines that determine who can or cannot participate in a clinical trial
Must have
Be older than 18 years old
Timeline
Screening 3 weeks
Treatment Varies
Follow Up day 14
Awards & highlights

Study Summary

This trial will test whether using AI during colonoscopies can help improve the detection of polyps and other anatomical landmarks.

Eligible Conditions
  • Adenomatous Polyps

Timeline

Screening ~ 3 weeks
Treatment ~ Varies
Follow Up ~day 14
This trial's timeline: 3 weeks for screening, Varies for treatment, and day 14 for reporting.

Treatment Details

Study Objectives

Outcome measures can provide a clearer picture of what you can expect from a treatment.
Primary outcome measures
Evaluation of the automatic report of the colonoscopy quality indicators
Number of polyps detected
Secondary outcome measures
Incomplete resection rate (IRR)
Polyp miss rate (PMR)
prediction of polyp histology

Trial Design

1Treatment groups
Experimental Treatment
Group I: Artificial intelligence for real-time detection and monitoring of colorectal polypsExperimental Treatment1 Intervention
A standard colonoscopy will be performed according to the standard of routine care. All optically diagnosed polyps will be removed and sent to the CHUM pathology laboratory for histopathological evaluation according to institutional standards. The AI system will capture video of the procedure in real time, and provide additional information on the detection of polyps, follow-up and prediction of pathology. The full-length colonoscopy videos will be annotated for the exact time of the identification of the anatomical landmarks, polyps, also for polyp- and procedural-related characteristics.
Treatment
First Studied
Drug Approval Stage
How many patients have taken this drug
Polyps detection by Artificial Intelligence
2020
N/A
~380

Find a Location

Who is running the clinical trial?

Centre hospitalier de l'Université de Montréal (CHUM)Lead Sponsor
366 Previous Clinical Trials
129,265 Total Patients Enrolled
2 Trials studying Adenomatous Polyps
Daniel von RentelnPrincipal InvestigatorCentre hospitalier de l'Université de Montréal (CHUM)
5 Previous Clinical Trials
1,446 Total Patients Enrolled
2 Trials studying Adenomatous Polyps

Frequently Asked Questions

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Recent research and studies
clinicaltrials.govStudy
Artificial Intelligence for Real-time Detection and Monitoring of Colorectal Polyps
2020. "Artificial Intelligence for Real-time Detection and Monitoring of Colorectal Polyps". ClinicalTrials.gov. https://clinicaltrials.gov/ct2/show/NCT04586556.
~86 spots leftby Apr 2025
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