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Computer-aided polypectomy decision support 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 1 month
Awards & highlights
Study Summary
This trial aims to create a computer decision support system to help with the removal of colorectal polyps, which can develop into CRC.
Timeline
Screening ~ 3 weeks3 visits
Treatment ~ Varies
Follow Up ~ 1 month
Screening ~ 3 weeks
Treatment ~ Varies
Follow Up ~1 month
Treatment Details
Study Objectives
Outcome measures can provide a clearer picture of what you can expect from a treatment.Primary outcome measures
Accuracy of the CADp system
Completeness of polypectomy
Training CADp
+1 moreTrial Design
1Treatment groups
Experimental Treatment
Group I: Artificial intelligence for real-time Computer decision support of resection 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 about polypectomy procedures.
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Who is running the clinical trial?
Centre hospitalier de l'Université de Montréal (CHUM)Lead Sponsor
366 Previous Clinical Trials
129,637 Total Patients Enrolled
2 Trials studying Adenomatous Polyps
372 Patients Enrolled for Adenomatous Polyps
Daniel von RentelnPrincipal InvestigatorCentre hospitalier de l'Université de Montréal (CHUM)
5 Previous Clinical Trials
1,818 Total Patients Enrolled
2 Trials studying Adenomatous Polyps
372 Patients Enrolled for Adenomatous Polyps
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