AI X-Ray tool could uncover millions of missed TB cases
NCT ID NCT05220163
First seen Nov 01, 2025 · Last updated May 22, 2026 · Updated 30 times
Summary
This study tests whether computer-assisted X-rays and other simple tests can help find undiagnosed tuberculosis (TB) and COVID-19 in African communities. About 26,200 adults will be screened using these tools to see if they speed up detection and reduce the number of missed cases. The goal is to improve how we find and treat these diseases, especially in areas where they are common.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Locations
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Helen Ayles
Lusaka, Zambia
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Junior Mutsvangwa
Harare, Zimbabwe
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University of Cape Town
Cape Town, Western Cape, South Africa
Conditions
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