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Artificial intelligence (Al)could soon help screen for Alzheimer's
disease by analyzing writing.A team from IBM and Pfizer says it has trained Al
models to spot early signs of the illness by looking at language patterns in word
usage
Other researchers have already trained various models to look for signs of
cognitive impairments(by using different types of data,such as brain scans
and clinical test results.But the latest work stands out because it used historical
information from the Framingham Heart Study,which has been tracking the
health of more than 14,000 people from three generations since 1948.If the new
models'ability to pick up trends in such data holds up in forward-looking
studies of bigger and more diverse populations,researchers say they could
predict the development of Alzheimer's disease a number of years before
symptoms become severe enough for typical diagnostic methods to pick up.And
such a screening tool would not require invasive (tests or scans.
Researchers praise the study as a solid contribution to the field that might
draw more attention and resources to Al detection of Alzheimer's disease.It's
one of the very few works that analyze the big-scale,real-life data that was
collected over a very long period of time.
Whether written or spoken,language samples offer a relatively noninvasive
source of information for monitoring peoples'cognitive health,compared with
brain scans and other laboratory tests.Collecting such language data could be
done cheaply and remotely -though doing so would still require strict
informed permission and private information safeguards for the individuals
creating the samples.This is especially true because some people may not want
to even know how likely they are to develop Alzheimer's disease.
新足做大指A口族
1.How can Al help in spotting signs of Alzheimer's disease?
A.By scanning the person's brain.
B.By studying the person's various data.
C.By a