AI Technologies that are closest and most suited for medical wearable applications
The transformative potential of the AI and wearables combination can transform healthcare from a reactive to a proactive and personalized practice
The expected AI fusion with medical device wearables will be transformative in the coming years. The integration of healthcare and smart analytics will change how we monitor, manage and understand health and wellness as we head towards a personalized and predictive healthcare management. AI algorithms will provide actionable insights and contribute to more positive patient outcomes.
These smart devices are becoming invaluable tools in chronic disease management, elderly care, and lifestyle management by providing continuous health monitoring and immediate feedback loops. The advances in edge computing and personalized algorithms are also enhancing device autonomy and user engagement.
Here, we outline six areas of AI that are most likely to become the first, or early applications and are particularly suited for integration into medical wearable technologies:
Machine Learning (ML) Algorithms: Processes and analyzes vast amounts of data collected by wearables to identify patterns such as heart rate variability, arrythmias and predict hypoglycemic events based on continuous glucose…
