NCT05899400View on ClinicalTrials.gov

A Study to Validate and Improve an Automated Image Analysis Algorithm to Detect Tuberculosis in Sputum Smear Slides

CompletedOBSERVATIONAL
Enrollment

400

Participants

Timeline

Start Date

September 15, 2019

Primary Completion Date

October 31, 2022

Study Completion Date

December 31, 2022

Conditions
Tuberculosis, Pulmonary
Interventions
DIAGNOSTIC_TEST

Diascopic iON Image Analysis System

A scanning digital optical train that images sputum slides for automated analysis by a tuberculosis detecting algorithm

Trial Locations (1)

Unknown

Makerere University, Kampala

All Listed Sponsors
collaborator

National Institutes of Health (NIH)

NIH

collaborator

National Institute for Biomedical Imaging and Bioengineering (NIBIB)

NIH

lead

Diascopic, LLC

INDUSTRY

NCT05899400 - A Study to Validate and Improve an Automated Image Analysis Algorithm to Detect Tuberculosis in Sputum Smear Slides | Biotech Hunter | Biotech Hunter