AI · 1h ago
AI Malaria Diagnosis Hits 97% Accuracy in Field Tests
AI-powered platforms can now diagnose malaria with 97-98% accuracy on blood-smear images, scanning 200,000 red cells in minutes versus a human's 2,000. In Ethiopia and Ghana, Noul's miLab MAL achieved 97.4% sensitivity, outperforming routine microscopy. However, bottlenecks like non-African datasets and internet dependency limit real-world impact.
Meridian48 take
The lab-to-clinic gap remains wide: high accuracy means little without annotation standards and offline-capable tools for rural Africa.
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