A Novel “Man And Machine” Decision Support System Makes Malaria Diagnostics More Effective, University of Helsinki Study
A Finnish-Swedish research group at the Institute for Molecular Medicine Finland (FIMM), University of Helsinki, and Karolinska institutet, Stockholm, has developed a novel “man and machine” decision support system for diagnosing malaria infection. This innovative diagnostic aid was described in PLOS One scientific journal today, 21 August. The method is based on computer vision algorithms similar to those used in facial recognition systems combined with visualization of only the diagnostically most relevant areas. Tablet computers can be utilized in viewing the images.
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