Abstract
In 2021, WHO issued a novel recommendation within its tuberculosis screening guidelines: the approval of artificial-intelligence-based computer-aided detection (AI-CAD) to analyse chest x-rays for tuberculosis detection in place of human readers.1 The recommendation was largely based on evidence suggesting that the accuracy of AI-CAD approximates that of radiologists in identifying tuberculosis on chest x-rays.1 Global health donors and actors working to eradicate tuberculosis regard AI-CAD as an important tool for finding the so-called missing millions of people with active tuberculosis that is left undetected each year.
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