AI breakthrough: Speech analysis predicts Alzheimer's progression with 78.5% accuracy

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AI breakthrough: Speech analysis predicts Alzheimer's progression with 78.5% accuracy
Artificial IntelligenceDementiaDiagnostic
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A method for predicting Alzheimer’s disease (AD) progression.

By Tarun Sai LomteReviewed by Lily Ramsey, LLMJun 27 2024 In a recent study published in Alzheimer’s & Dementia , researchers developed a method for predicting the progression of Alzheimer’s disease .

By contrast, neuropsychological tests are the most accessible for cognitive decline assessment. Computer-based approaches have been tested for predicting MCI-to-AD conversion using NPTs. Speech in NPTs can be used to predict cognitive decline. The study focused on MCI-to-AD progression and not on normal cognition to MCI or AD because of the limited utility of NPTs in predicting cognitive decline without cognitive deterioration.

A logistic regression model was trained on the quantitative data associated with each sub-test content. Embeddings from abbreviated versions were used as independent input, generating multiple scores for each transcript. Findings Of the 166 subjects with MCI, 90 progressed to AD dementia within six years. AD dementia included mixed dementia and AD with/without stroke. The mean time to AD was 2.7 years.

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