AI Detects Alzheimer’s with 82 Percent Accuracy
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Driving Data Predicts Alzheimer’s with 82% accuracy
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St. louis/Berlin – Abrupt braking, shorter distances, fewer night trips: What sounds like everyday driving habits could be the key to early detection of Alzheimer’s. Scientists at Washington University School of Medicine have demonstrated that GPS data from cars indicates cognitive problems more accurately than conventional risk factors such as age or genetic testing.
the study, published in the journal Neurology, followed 298 older adults for up to 40 months. The result exceeds expectations: driving data alone identified those affected with 82 percent accuracy. Combined with medical data,the rate rose to an impressive 87 percent.
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The digital passenger sees what we miss
Almost 300 seniors – average age 75 – agreed to have their vehicles equipped with GPS trackers. 56 of them already had mild cognitive impairment, the rest were considered healthy. The devices recorded every kilometer,every route choice,every braking maneuver.
What the algorithms discovered would often be missed by human observers. The most striking patterns:
- Changed route choice: Those affected increasingly avoided night journeys and repeated familiar routes
- more aggressive driving style: More frequent braking and acceleration, more speeding
- Shrinking Radius: The range of action was reduced to 5 to 10 miles
“We were able to use GPS data to determine who had developed cognitive problems more accurately than traditional factors alone,” explains study leader Ganesh Babulal. The highlight: The changes became apparent before relatives or doctors noticed any abnormalities.
Why drive a car?
Driving is one of the most complex everyday tasks. Visual perception, attention, memory, decision-making
