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Evaluation Of The Parasight Platform For Malaria Diagnosis, Yochay Eshel, Arnon Houri-Yafin, Hagai Benkuzari, Natalie Lezmy, Mamta Soni, Malini Charles, Jayanthi Swaminathan, Hilda Solomon, Pavithra Sampathkumar, Zul Premji, Caroline Mbithi, Zaitun Nneka, Simon Onsongo, Daniel Maina, Sarah Levy-Schreier, Caitlin Lee Cohen, Dan Gluck, Joseph Joel Pollak, Seth J. Salpeter
Evaluation Of The Parasight Platform For Malaria Diagnosis, Yochay Eshel, Arnon Houri-Yafin, Hagai Benkuzari, Natalie Lezmy, Mamta Soni, Malini Charles, Jayanthi Swaminathan, Hilda Solomon, Pavithra Sampathkumar, Zul Premji, Caroline Mbithi, Zaitun Nneka, Simon Onsongo, Daniel Maina, Sarah Levy-Schreier, Caitlin Lee Cohen, Dan Gluck, Joseph Joel Pollak, Seth J. Salpeter
Pathology, East Africa
The World Health Organization estimates that nearly 500 million malaria tests are performed annually. While microscopy and rapid diagnostic tests (RDTs) are the main diagnostic approaches, no single method is inexpensive, rapid, and highly accurate. Two recent studies from our group have demonstrated a prototype computer vision platform that meets those needs. Here we present the results from two clinical studies on the commercially available version of this technology, the Sight Diagnostics Parasight platform, which provides malaria diagnosis, species identification, and parasite quantification. We conducted a multisite trial in Chennai, India (Apollo Hospital [n = 205]), and Nairobi, Kenya …