Malaria RDT (mRDT) interpretation accuracy by frontline health workers compared to AI in Kano state, Nigeria

Abstract Background Although malaria is preventable and treatable, it continues to be a significant cause of illness and death. Early diagnosis through testing is critical in reducing malaria-related morbidity and mortality. Malaria rapid diagnostic tests (mRDTs) are preferred for their ease of use,...

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Detalhes bibliográficos

Principais autores:	Sasha Frade, Shawna Cooper, Sam Smedinghoff, David Hattery, Yongshao Ruan, Paul Isabelli, Nirmal Ravi, Megan McLaughlin, Lynn Metz, Barry Finette
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2025-09-01
Colecção:	BMC Digital Health
Assuntos:	RDT Rapid test Malaria AI Artificial intelligence AI algorithms
Acesso em linha:	https://doi.org/10.1186/s44247-025-00190-4
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