Trials / Completed
CompletedNCT04074577
Computer Aided Detection, Tandem Colonoscopy Study
- Status
- Completed
- Phase
- N/A
- Study type
- Interventional
- Enrollment
- 32 (actual)
- Sponsor
- NYU Langone Health · Academic / Other
- Sex
- All
- Age
- 22 Years
- Healthy volunteers
- Accepted
Summary
The purpose of this project is to examine the role of machine learning and computer aided diagnostics in automatic polyp detection and to determine in real-time how a computer-aided detection (CADe) algorithm will perform when compared to standard screening or surveillance colonoscopy alone. Design will be a multi-center, prospective, unblinded randomized tandem colonoscopy study. 196 patients referred for either screening or surveillance colonoscopy will be included.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | Standard technique First | colonoscopy without automated polyp detection software |
| DIAGNOSTIC_TEST | combination technique First | automated polyp detection software |
Timeline
- Start date
- 2020-09-17
- Primary completion
- 2020-10-14
- Completion
- 2020-10-14
- First posted
- 2019-08-30
- Last updated
- 2021-06-29
Locations
1 site across 1 country: United States
Source: ClinicalTrials.gov record NCT04074577. Inclusion in this directory is not an endorsement.