Boston UniversityJun 25 2024 Trying to figure out whether someone has Alzheimer's disease usually involves a battery of assessments-;interviews, brain imaging, blood and cerebrospinal fluid tests. But, by then, it's probably already too late: memories have started slipping away, long established personality traits have begun subtly shifting.
We wanted to predict what would happen in the next six years-;and we found we can reasonably make that prediction with relatively good confidence and accuracy. It shows the power of AI." "We hope, as everyone does, that there will be more and more Alzheimer's treatments made available," says Paschalidis, a BU College of Engineering Distinguished Professor of Engineering and founding member of the Faculty of Computing & Data Sciences.
"We combine the information we extract from the audio recordings with some very basic demographics-;age, gender, and so on-;and we get the final score," says Paschalidis. "You can think of the score as the likelihood, the probability, that someone will remain stable or transition to dementia. It had significant predictive ability."
Rhoda Au, a coauthor on the paper, says AI has the power to create "equal opportunity science and healthcare." The study builds on the same team's previous work, where they found AI could accurately detect cognitive impairment using voice recordings.
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