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

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.

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Syrian scientist develops AI system to detect Parkinson's early

AI to detect Parkinson's from breathing patterns •

Breakthrough in detecting Parkinson's using AI and breathing patterns

Scientists at MIT have developed an artificial intelligence-based model that detects Parkinson's disease in a person quicker than ever before. The

Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms

AI Model Detects Early Signs of Parkinson's - RTInsights

AI Method Developed to Identify Parkinson's Disease

Alex Ouyang – MIT Jameel Clinic

MIT develop new AI model to successfully detect Parkinson's disease from breathing patterns

Breakthrough in detecting Parkinson's using AI and breathing patterns

In-home wireless device tracks disease progression in Parkinson's patients