Malaria case detection using an AI-enabled system in the routine practice of performing clinical blood tests in a centralized laboratory
The use of a system equipped with artificial intelligence for image collecting, improvement and pre-classification significantly optimizes the WBC DIFF performing in a laboratory with a large flow of continuously arriving biomaterial. Optimization occurs both by reducing the time and labor costs for mechanical manipulation of the physician during smear microscopy and by increasing the resolution of the examination.