Researchers at the MIT Jameel Clinic have developed an artificial intelligence model that can detect Parkinson’s just from reading a person’s breathing patterns. Parkinson’s disease is notoriously difficult to diagnose as it relies primarily on the appearance of motor symptoms such as tremors, stiffness, and slowness, but these symptoms often appear several years after the
A newly developed artificial intelligence model can detect Parkinson's disease by reading a person's breathing patterns. The algorithm can also discern the severity of Parkinson's disease and tract progression over time.
A team of researchers at MIT has developed an artificial intelligence (AI) model that can detect Parkinson’s from reading a person’s breathing patterns. The neural network is able to assess a person’s nocturnal breathing, or sleeping breathing patterns, to determine whether or not they have Park