Diagnostic accuracy of an automated microscope solution (miLab™) in detecting malaria parasites in symptomatic patients at point-of-care in Sudan: a case–control study

Diagnostic accuracy of an automated microscope solution (miLab™) in detecting malaria parasites in symptomatic patients at point-of-care in Sudan: a case–control study

Abstract Background Microscopic detection of malaria parasites is labour-intensive, time-consuming, and expertise-demanding. Moreover, the slide interpretation is highly dependent on the staining technique and the technician’s expertise. Therefore, there is a growing interest in next-generation, ful...

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Sonraí bibleagrafaíochta
Príomhchruthaitheoirí: Muzamil M. Abdel Hamid, Abdelrahim O. Mohamed, Fayad O. Mohammed, Arwa Elaagip, Sayed A. Mustafa, Tarig Elfaki, Waleed M. A. Jebreel, Musab M. Albsheer, Sabine Dittrich, Ewurama D. A. Owusu, Seda Yerlikaya
Formáid: Alt
Teanga:English
Foilsithe / Cruthaithe: BMC 2024-06-01
Sraith:Malaria Journal
Ábhair:
Automated microscope
Artificial intelligence
miLab™
Malaria
Sudan
Rochtain ar líne:https://doi.org/10.1186/s12936-024-05029-3

Ar líne

https://doi.org/10.1186/s12936-024-05029-3

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