A remote speech-based AI system to screen for early Alzheimer's disease via smartphones

Updated

Artificial intelligence (AI) systems leveraging speech and language changes could support timely detection of Alzheimer's disease (AD).

The AMYPRED study  recruited 133 subjects with an established amyloid beta biomarker and clinical status (71 cognitively unimpaired [CU], 62 mild cognitive impairment [MCI] or mild AD). Daily story recall tasks were administered via smartphones and analyzed with an AI system to predict MCI/mild AD and biomarker positivity.

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