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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Principais autores:	Sasha Frade, Shawna Cooper, Sam Smedinghoff, David Hattery, Yongshao Ruan, Paul Isabelli, Nirmal Ravi, Megan McLaughlin, Lynn Metz, Barry Finette
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2025-09-01
Serija:	BMC Digital Health
Teme:	RDT Rapid test Malaria AI Artificial intelligence AI algorithms
Online dostop:	https://doi.org/10.1186/s44247-025-00190-4
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