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

Diascopic

Status: Completed

Conditions: Tuberculosis, Pulmonary

Treatments: Diagnostic Test: Diascopic iON Image Analysis System

Study type: Observational

Funder types: Industry; NIH

Identifiers

NCT05899400

Diascopic

1R43EB028736-01 (U.S. NIH Grant/Contract)

Details and patient eligibility

About

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

Enrollment: 400 patients

Sex: All

Volunteers: No Healthy Volunteers

Inclusion criteria

• Samples sourced from Makerere University's Joint Clinical Research Clinic (JCRC) and Laboratory

Exclusion criteria

• No samples from outside Makerere's Domain

Trial design

400 participants in 1 patient group

Study Group

Description:

400 Male and Female Ugandan Africans

Treatment:

Diagnostic Test: Diascopic iON Image Analysis System