Artificial Intelligence Better at Diagnosing Malaria than Conventional Methods

Artificial Intelligence (AI) has also joined forces with the Gates foundation in its fight against Malaria, a mosquito-borne disease. MIT Technology Review reported that the research at Intellectual Venture Laboratory with the support from Bill and Malinda Gates formulated the algorithms that can detect Malaria’s presence. To diagnose Malaria, scientists built “Autoscope,” a microscope with deep-learning capabilities. The apparatus works in combination with a laptop that runs algorithms to search for patterns suggesting Malaria in a given sample. Autoscope does so by analyzing a sample’s visual representation. The software had been fed with visual cues such as shapes, color, and texture, which doctors use in a diagnostic test for Malaria parasite. So far, Autoscope has been found to diagnose Malaria with 90% accuracy. Unlike existing diagnostic tools that only confirm…


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