Daily chats with AI could help spot early signs of Alzheimer's

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But the earlier it's diagnosed, the more chances there are to delay its progression. Our joint team of researchers from IBM and University of Tsukuba has developed an AI model that could help detect the onset of the mild cognitive impairment (MCI), the transitional stage between normal aging and dementia -- by asking older people typical daily questions. In a new paper published in Frontiers in Digital Health journal, we present the first empirical evidence of tablet-based automatic assessments of patients using speech analysis -- successfully detecting mild cognitive impairment (MCI), the transitional stage between normal aging and dementia. Unlike previous studies, our AI-based model uses speech responses to daily life questions using a smartphone or a tablet app. Such questions could be as simple as inquiring someone about their mood, plans for the day, physical condition or yesterday's dinner. Earlier studies mostly focused on analyzing speech responses during cognitive tests, such as asking a patient to "count down from 925 by threes" or "describe this picture in as much detail as possible."

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