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Real-Time Feedback (RTFB) to Improve Colonoscopy

University of Minnesota (UMN) logo

University of Minnesota (UMN)

Status

Suspended

Conditions

Colorectal Cancer

Treatments

Device: AI program for colonoscopy

Study type

Interventional

Funder types

Other

Identifiers

NCT05241210
GI-2019-28090
DK106130 (Other Grant/Funding Number)

Details and patient eligibility

About

To test whether real-time feedback will improve quality of endoscopic examination.

Enrollment

4,150 estimated patients

Sex

All

Ages

18+ years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

- Any endoscopist willing to parcipate and performing routine colonscopy

Exclusion criteria

- No exclusion criteria

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Sequential Assignment

Masking

None (Open label)

4,150 participants in 2 patient groups

Testing of degree of mucosal inspection
Experimental group
Description:
AI provides real-time feedback related to circumferential views during endoscope removal
Treatment:
Device: AI program for colonoscopy
Testing of clearing of fecal debris
Experimental group
Description:
AI provides real-time feedback related to removal of remaining fecal debris
Treatment:
Device: AI program for colonoscopy

Trial contacts and locations

3

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Central trial contact

James Villar-Mead

Data sourced from clinicaltrials.gov

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