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University of Rochester Launches AI Voice Test for Early Parkinson’s Screening

The web-based pangram screening tool now live online uses advanced speech models trained on millions of recordings to flag warning signs with nearly 86% accuracy.

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Overview

  • University of Rochester’s online pangram screening test and demo went live July 24, offering rapid Parkinson’s risk assessments through any web browser.
  • Participants recite two pangrams and the AI evaluates subtle vocal patterns linked to Parkinson’s disease in seconds.
  • The underlying model leverages semi-supervised speech embeddings trained on millions of audio recordings and validated with data from over 1,300 participants to reach 85.7% accuracy.
  • Researchers are exploring integration with Amazon Alexa and Google Home to embed the screening tool into popular voice assistant platforms for remote use.
  • Developers emphasize that the AI test is a low-barrier preliminary flagging tool designed to prompt users to seek comprehensive clinical evaluations rather than replace medical diagnosis.