Machine learning can help doctors diagnose Parkinson’s disease by looking at patients’ movements

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Machine learning can help doctors diagnose Parkinson’s disease by looking at patients’ movements

Scientists from Skoltech and A.I. Burnazyan Federal Medical and Biophysical Center have designed and developed a second opinion system based on AI-assisted video analysis that can help medical professionals to objectively assess patients with Parkinson’s disease (PD), even at an early stage. This approach can help avoid misdiagnosing this disease, distinguishing between its stages, adjusting therapy and recommending diagnosed patients for deep brain stimulation surgery. The paper was published in IEEE Sensors Journal.

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