A new AI-powered, speech-based screening tool could help people assess whether they are showing signs of Parkinson's disease at home.

Developed as part of a study by University of Rochester computer scientists, the web-based test asks users to recite two pangrams, short sentences using every letter of the alphabet.

In just seconds, the AI can analyze the voice recordings to look for subtle patterns linked to Parkinson's—with nearly 86 percent accuracy.

The researchers believe such a tool could be implemented as a feature in popular speech-based interfaces like Amazon Alexa or Google Assistant (with users consent).

"While we haven't established partnerships with these companies yet, our model is very lightweight and well-suited for such integration," paper author and computer scie

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