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Researchers developed an AI model that can predict, from speech analysis and with 78.5% accuracy, whether individuals with mild cognitive impairment will progress to Alzheimer’s-associated dementia over a 6 year period
New AI model predicts Alzheimer’s progression from speech analysis Researchers at Boston University have developed an artificial intelligence (AI) model that can predict with 78.5% accuracy whether individuals with mild cognitive impairment will progress to Alzheimer’s-associated dementia over a six-year period. The model, which analyses speech patterns from patient interviews, could potentially revolutionise early diagnosis and intervention strategies for Alzheimer’s disease.
Researchers at Boston University have developed an artificial intelligence (AI) model that can predict with 78.5% accuracy whether individuals with mild cognitive impairment will progress to Alzheimer’s-associated dementia over a six-year period. Rhoda Au, a co-author of the study and professor of anatomy and neurobiology at BU Chobanian & Avedisian School of Medicine, emphasised the potential for AI to create “equal opportunity science and healthcare”. As research in this field continues to advance, it is hoped that such technologies will play an increasingly important role in improving early diagnosis and intervention strategies for Alzheimer’s disease, ultimately leading to better outcomes for patients worldwide.
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