KAIST develops AI technology to detect early warning signs of cerebrovascular disease at home
A KAIST-led research team developed an AI framework that analyzes real-life daily activity and environmental data from older adults to identify digital behavioral markers of cerebrovascular disease risk. The study found that irregular daily rhythms, low indoor humidity, and changes in sleep patterns can serve as important clues for det...