KAIST Develops AI Technology to Detect Early Warning Signs of Cerebrovascular Disease at Home (IMAGE)
Caption
Figure1. A Research Image: Using AI to analyze activity, sleep, daily-rhythm, and indoor environmental data collected through contactless sensors in older adults’ homes, the study identifies a “pre-diagnosis risk group” between healthy and diagnosed groups and evaluates “imminent risk” as the time of diagnosis approaches.
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KAIST
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