AI and Wearables for Early Detection of Cognitive Impairment and Dementia: Systematic Review - PubMed

4 hours ago

AI and wearable technologies are being explored for early detection of cognitive impairment and dementia.
Traditional cognitive screening methods may miss early changes, whereas wearables offer continuous monitoring of sleep, physical activity, and circadian rhythms.
The study reviewed 49 studies involving over 200,000 participants, with most using research-grade actigraphy.
Cognitive outcomes were often measured using global screening tools like the Mini-Mental State Examination.
Analytic approaches included statistical methods (73.5%), machine learning (14.3%), and deep learning (12.2%).
Disrupted sleep, circadian rhythm fragmentation, and irregular activity patterns were linked to worse cognitive outcomes.
Machine learning and deep learning showed classification performance with AUC values between 0.70 and 0.95.
Key limitations included small sample sizes, short monitoring durations, and limited external validation.
Wearable-derived behavioral markers show promise for early risk stratification and personalized risk reduction strategies.

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