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Artificial intelligence model can detect Parkinson's from breathing patterns, MIT News

Artificial intelligence model can detect Parkinson's from breathing patterns, MIT News

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A new device can detect Parkinson's disease just from breathing patterns. The device, developed by a team led by Dina Katabi of MIT, employs a neural network to discern the presence and severity of the neurological disease.

AI Model From MIT Accurately Detects Parkinson's From Breathing Patterns

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Artificial intelligence model can detect Parkinson's from breathing patterns, MIT News

Applied Sciences, Free Full-Text

Artificial intelligence can detect Parkinson's from breathing patterns

Artificial intelligence-enabled detection and assessment of Parkinson's disease using nocturnal breathing signals

Artificial intelligence model can detect Parkinson's from breathing patterns, MIT News

Frontiers Machine learning models for diagnosis and prognosis of Parkinson's disease using brain imaging: general overview, main challenges, and future directions