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NCT03637712 · ClinicalTrials.gov registry record · NA
Deep-Learning for Automatic Polyp Detection During Colonoscopy
A NA study, sponsored by NYU Langone Health.
- Completed
- Registry status
- NA
- Development phase
- 5
- Enrollment target
NCT03637712: Completed NA study, sponsored by NYU Langone Health.
NCT03637712 is a NA study that has completed, run by NYU Langone Health. The registered enrollment target is 5 participants, below the 1,404-participant average among 58,714 other NA trials with a reported enrollment target (100% lower). According to ClinicalTrials.gov, the official US trial registry.
The verdict
NCT03637712, a NA study, has completed, sponsored by NYU Langone Health.
- COMPLETED
- Registry status
- NA
- Development phase
- 5 participants
- Enrollment target
Study Summary
The primary objective of this study is to examine the role of machine learning and computer aided diagnostics in automatic polyp detection and to determine whether a combination of colonoscopy and an automatic polyp detection software is a feasible way to increase adenoma detection rate compared to standard colonoscopy.
Primary Outcome
the proportion of colonoscopic examinations performed that detect one or more polyp
Interventions
- DEVICE Computer Algorithm
Trial Details
| Field | Value |
|---|---|
| Enrollment Target | 5 participants |
| Start Date | 2018-09-01 |
| Est. Completion | 2019-07-07 |
| Phase | NA |
What the finished NCT03637712 record still lists
NCT03637712 is an interventional study that assigns participants to a tested intervention. The registry caps enrollment at 5 participants, a relatively small participant target, below the 1,404-participant average among 58,714 other NA trials with a reported enrollment target (100% lower).
The record links to 0 conditions, and to 1 intervention - of which Computer Algorithm is the first listed.
NCT03637712 does not publish any study locations in the registry export this page uses.
Frequently Asked Questions
What is clinical trial NCT03637712 about?
NCT03637712 is a clinical study titled "Deep-Learning for Automatic Polyp Detection During Colonoscopy". The primary objective of this study is to examine the role of machine learning and computer aided diagnostics in automatic polyp detection and to determine whether a combination of colonoscopy and an automatic polyp detection software is a feasible way to increase adenoma detection rate compared to ...
What is the current status of trial NCT03637712?
This trial is currently completed. It is a NA study. The enrollment target is 5 participants. The study started on 2018-09-01. Estimated completion is 2019-07-07.
What interventions are being tested in trial NCT03637712?
The interventions under investigation include: Computer Algorithm (DEVICE).
Who is sponsoring clinical trial NCT03637712?
This trial is sponsored by NYU Langone Health, which has 1,164 total clinical trials registered on ClinicalTrials.gov.
Learn More About Clinical Trials
How this trial's enrollment target compares
Where NCT03637712's enrollment target sits among peer trials
5 1988th of 2000 higher than 5 of 2,000 other NA trials
participants (enrollment target), bucketed by value
Each bar is a band; taller bars hold more other NA trials. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.
Source ClinicalTrials.gov registry export · 2026-08-08
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