Stellenbosch project speeds up TB diagnosis with AI technology
Stellenbosch University is leading the AddiCAD project, which uses AI-powered chest X-rays combined with biomarker blood tests to improve tuberculosis diagnosis. The initiative aims to make accurate TB detection more accessible in resource-limited settings.
In what is expected to be an important weapon in the fight against tuberculosis, Stellenbosch University is leading AddiCAD , a R46m international project to improve diagnosis by combining AI-powered chest X-ray analysis with a simple fingerstick blood test – the blend of cutting-edge science and real-world usability expected to make accurate diagnosis more accessible where it is needed most.
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