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Published 2 years ago

Artificial intelligence model can detect Parkinson's from breathing patterns

Summary by Ground News
Researchers from MIT have developed an AI system that uses radio waves to monitor breathing while a person sleeps. The study found 12 nights of consecutive tracking could reach around 95% accuracy at diagnosing Parkinson's disease. The researchers have already developed a wall-mounted device that can be used to monitor patients in their home.

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