Trials / Completed
CompletedNCT05718193
Real-Time Artificial Intelligence Assissted Colonoscopy to Identify and Classify Polyps
- Status
- Completed
- Phase
- N/A
- Study type
- Interventional
- Enrollment
- 2,868 (actual)
- Sponsor
- Xiangya Hospital of Central South University · Academic / Other
- Sex
- All
- Age
- 18 Years – 85 Years
- Healthy volunteers
- Accepted
Summary
To investigate the degree of the real-time detection and classification system for increasing the adenoma detection rate during colonoscopy.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | DeFrame | The DeFrame system is applicated during colonoscopy. The DeFrame system superimposes a rectangular box on the polyp lesion area in the colonoscopy field of view, notifying the endoscopists of the presence of the lesion. |
| DIAGNOSTIC_TEST | Classified DeFrame | The Classified DeFrame system is applicated during colonoscopy. The Classified DeFrame system superimposes a rectangular box on the polyp lesion area in the colonoscopy field of view, the color of the rectangle box will turn blue when the polyp is considered as an adenoma, notifying the endoscopists of the presence of the lesion. |
| DIAGNOSTIC_TEST | conventional colonoscopy | conventional colonoscopy |
Timeline
- Start date
- 2022-06-01
- Primary completion
- 2023-02-28
- Completion
- 2023-03-15
- First posted
- 2023-02-08
- Last updated
- 2023-04-11
Locations
2 sites across 1 country: China
Source: ClinicalTrials.gov record NCT05718193. Inclusion in this directory is not an endorsement.