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,...

Full beskrivning

Sparad:
Bibliografiska uppgifter
Huvudupphovsmän: Sasha Frade, Shawna Cooper, Sam Smedinghoff, David Hattery, Yongshao Ruan, Paul Isabelli, Nirmal Ravi, Megan McLaughlin, Lynn Metz, Barry Finette
Materialtyp: Artigo
Språk:Inglês
Publicerad: BMC 2025-09-01
Serie:BMC Digital Health
Ämnen:
RDT
Rapid test
Malaria
AI
Artificial intelligence
AI algorithms
Länkar:https://doi.org/10.1186/s44247-025-00190-4
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!

Liknande verk