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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Những tác giả chính: 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
Định dạng: Bài viết
Ngôn ngữ:English
Được phát hành: BMC 2024-06-01
Loạt:Malaria Journal
Những chủ đề:
Automated microscope
Artificial intelligence
miLab™
Malaria
Sudan
Truy cập trực tuyến:https://doi.org/10.1186/s12936-024-05029-3

Internet

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

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