AI-Powered Blood Cell & Malaria Detection System Improves Diagnostic Accuracy by 35% and Cuts Lab Workload by 55%
Automated blood cell analysis reduced manual microscopy effort by 50–60% and improved malaria detection reliability by 30–40%, based on observed impact in similar AI-enabled pathology workflows.

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