——— Jenny Wang
I propose the development of AI-powered smart clothing and e-textiles that continuously monitor vital signs (heart rate, ECG, glucose levels, sleep patterns) in real time. This technology integrates textile-based sensors with artificial intelligence to enable continuous, non-invasive health monitoring.
Specifically, these sensors are embedded into fabrics, enabling real-time glucose monitoring without invasive procedures like pricking a finger with a lancet for glucose meter readings. They also allow pulse rate monitoring in a more comfortable way, eliminating the need to attach electrodes directly to the skin when wearing a Holter monitor for 24 hours.
AI algorithms improve the accuracy and reliability of collected data, offering valuable insights for managing diabetes and heart disease.
To create an ethical future for wearable digital health technology (such as AI-driven vital sign monitors), governance policies should address these three key goals:
Goal 1. Protecting User Privacy & Data Security: Wearables collect sensitive biometric personal health data, therefore making strong privacy safeguards is essential and necessary.
Sub-goal 1.1: Enforce Strong Data Encryption
Sub-goal 1.2: Establish Transparent Data Ownership & Consent Policies
Goal 2. Ensuring Fairness & Accuracy in Health Monitoring: AI algorithms must be reliable, unbiased, and clinically validated.
Sub-goal 2.1: Ensure Clinical Validation & Diverse Testing