Abstract
For over a century, the need to identify malaria in the peripheral blood has been the driving force behind the development of fundamental clinical microscopy techniques. In the study by Moysis etal., artificial intelligence-based model was utilized to identify and provide quantitative morphological characteristics of red blood cells typical to severe malaria anaemia, irrespective to the actual presence of visible parasites. Commentary on: Moysis etal. Leveraging deep learning for detecting red blood cell morphological changes in blood films from children with severe malaria anaemia. Br J Haematol 2024;205:699-710.
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