Chung-Yi Chiu

The team proposes a dual assessment–intervention “see-saw” model that delivers tasks, measures performance, and adapts support in real time.

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Led by Dr. Chung-Yi Chiu at the University of Illinois Urbana-Champaign, the project designs SavvySeeSaw, an evolvable AI tool that detects AD/ADRD progression and delivers tailored intervention tasks within a person’s daily context. Using accessible inputs—such as activity performance, self-administered cognitive tests, photos, voice, facial expression, and available medical records—the system’s generative component proposes real-life tasks while a predictive component evaluates performance to refine testing and training. The approach aims to address late detection, costly testing, and limited real-world feedback by enabling continuous, self-guided assessment and timely intervention to support daily functioning.

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