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Artificial Intelligence for Tuberculosis Screening and Detection: From Evidence to Policy and Implementation

2026-02-25

Abstract excerpt

<h4>Background: </h4> Artificial intelligence (AI) is increasingly used to support tuberculosis (TB) screening and diagnosis, especially computer-aided detection (CAD) applied to chest radiography (CXR). The value of these programs depends not only on diagnostic accuracy but also on threshold calibration, integration into clinical workflow, and capacity for confirmatory testing. <h4>Methods:</h4> We conducted a na...

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Literature Corpus work
0c57cb38-f3d9-51dc-8c37-aacb45a551f2
DOI
10.20944/preprints202602.1545.v1
Open publication

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Artificial Intelligence for Tuberculosis Screening and Detection: From Evidence to Policy and ImplementationDOI 10.20944/preprints202602.1545.v1
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