Excellent points! Accuracy, security, and integration are definitely major hurdles in wearable health data. AI can help in a few key ways:

1. Standardization – Machine learning models can normalize data across different devices, making it easier to integrate.

2. Error Detection – AI can spot inconsistencies or sensor malfunctions, improving reliability.

3. Predictive Insights – Advanced analytics can detect trends and even anticipate health risks before they escalate.

We also think federated learning could be a game-changer, allowing AI to learn from data without compromising privacy.

For a deeper dive into AI's role in healthcare, this blog on predictive analytics in patient care has some great insights.