Wearable devices, such as fitness trackers and smartwatches, rely heavily on AI to provide health and activity insights. AI algorithms analyze data from sensors that track metrics like heart rate, sleep patterns, physical activity, and even stress levels. This data is processed in real-time to offer personalized health recommendations, track fitness goals, and detect potential health issues.
For instance, devices like the Apple Watch use AI to monitor heart rhythms and detect irregularities, potentially identifying conditions like atrial fibrillation early. AI also powers features like adaptive workout suggestions, sleep coaching, and stress management tools. In addition to health monitoring, wearables use AI for predictive analytics, forecasting future health trends based on historical data. This proactive approach to health management empowers users to make informed decisions about their well-being.