Trials / Completed
CompletedNCT05899400
A Study to Validate and Improve an Automated Image Analysis Algorithm to Detect Tuberculosis in Sputum Smear Slides
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 400 (actual)
- Sponsor
- Diascopic, LLC · Industry
- Sex
- All
- Age
- —
- Healthy volunteers
- Not accepted
Summary
A Study to Validate and Improve an Automated Image Analysis Algorithm to Detect Tuberculosis in Sputum Smear Slides
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | Diascopic iON Image Analysis System | A scanning digital optical train that images sputum slides for automated analysis by a tuberculosis detecting algorithm |
Timeline
- Start date
- 2019-09-15
- Primary completion
- 2022-10-31
- Completion
- 2022-12-31
- First posted
- 2023-06-12
- Last updated
- 2023-06-12
Locations
1 site across 1 country: Uganda
Source: ClinicalTrials.gov record NCT05899400. Inclusion in this directory is not an endorsement.