Artificial intelligence is a fascinating but not particularly accessible technology. Project DataREACH, currently in trial mode in Cameroon, wants to change that by giving doctors in all corners of the globe access to advanced AI to help diagnose illnesses and spot troubling health trends. “Our goal is to bridge the gap between the medical data now being gathered on the ground in developing nations, and the cutting-edge [AI] research and application…from the West,” Project DataREACH founder and CEO Vikash Singh told PCMag. Singh’s app allows clinicians to collect patient data like height, weight, blood pressure, cholesterol, family history, and location. That data is then analyzed via machine learning to assist physicians in evaluating the risk of noncommunicable diseases, including diabetes and cardiovascular issues. Project DataREACH recently integrated with a machine-learning model for prediction of chronic kidney disease, a big problem in developing nations; it’s asymptomatic and many doctors lack the resources to perform diagnostic blood tests. But a low-cost, non-invasive software solution can alert physicians about the potential risk of patients developing it. A second application is smart surveillance software that provides district-level officials with access to outbreak-detection algorithms to address and contain disease spreads and understand various treatment responses…. Read full this story
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