Evaluating the diagnostic performance of miLab™ for detection of malaria parasites using nPCR as reference standard.

ABSTRACT: Malaria remains a leading health threat in sub-Saharan Africa, causing over 600,000 deaths annually. Ghana, ranked among the top 15 in malaria burden in Africa, relies heavily on microscopy for diagnosis due to its affordability and established use. However, limitations in sensitivity, turnaround time, and availability of skilled personnel despite ongoing national training efforts stress the need for improved diagnostics. This study evaluated miLab^™, an AI-assisted automated malaria detection platform, using nested PCR (nPCR) as the reference standard. We conducted a hospital-based cross-sectional study from August 2024 to June 2025 in three malaria-endemic communities in Kumasi, Ashanti region and enrolled 300 suspected malaria patients (168 females, 132 males; aged 1-87 years,

SUBMITTER: Addae EK 

PROVIDER: S-EPMC12922333 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature