AI-integrated smartwatch monitoring for early detection of stroke and hemorrhage: A systematic review

Wearable technology with AI shows promise for ischemic stroke symptom detection, but there is a critical gap in SAH and ICH detection. Challenges include sensor accuracy, false alarms, and algorithm generalizability. We propose a conceptual multisensory model integrating heart rate (electrocardiogram/photoplethysmography), blood pressure surrogates, and motion data into an AI pipeline for future smartwatch systems, which can lead to the detection of stroke/SAH, might show promise in other brain pathologies.