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.

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

Many patients use their inhalers and insulin pens wrong. An AI

Health Tech: Researchers Can Use Breathing Patterns to Detect

artificial intelligence: Now AI can detect Parkinson's disease while you are sleeping - The Economic Times

Yuan Yuan (@YuanYuan_MIT) / X

Breakthrough in detecting Parkinson's using AI and breathing pattern by Jameel Clinic

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

New Neural Network Can Detect Parkinson's Disease by Breathing Patterns, by ODSC - Open Data Science

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

AI-based Biomarker for Parkinson's Disease

MIT device senses breathing patterns to spot Parkinson's disease - The Boston Globe

MIT's new artificial intelligence technology can detect Parkinson's early using breathing patterns

Unlocking the Potential of AI in Understanding Neurological Diseases