In Sub-Saharan Africa, lower respiratory tract infections (LRTIs) and tuberculosis (TB) jointly are the leading cause of overall mortality. There is a need to integrate sustainable triage and management strategies into standard care. The TrUST study investigates the utility of point-of-care ultrasound (POCUS) for diagnosis and prognosis of LRTIs in TB endemic regions in the outpatient triage setting. Automated interpretation of POCUS by artificial intelligence (AI) may further standardize and improve its predictive utility as well as facilitate its implementation into usual practice.
Age range
18 Years
Sex
ALL
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Sensitivity of LUS for the detection of TB
Timeframe: 18 to 24 months
Specificity of LUS for the detection of TB
Timeframe: 18 to 24 months
Sensitivity of FASH PLUS for the detection of TB
Timeframe: 24 to 36 months
Specificity of FASH PLUS for the detection of TB
Timeframe: 24 to 36 months
Sensitivity of combined LUS and FASH PLUS features for the detection of TB
Timeframe: 24 to 36 months
Specificity of combined LUS and FASH PLUS features for the detection of TB
Timeframe: 24 to 36 months
Sensitivity of AI-interpreted LUS for the detection of TB
Timeframe: 24 to 36 months
Specificity of AI-interpreted LUS for the detection of TB
Timeframe: 24 to 36 months
Sensitivity of AI-interpreted FASH PLUS for the detection of TB
Timeframe: 24 to 36 months
Specificity of AI-interpreted FASH PLUS for the detection of TB
Timeframe: 24 to 36 months