AI digital twins mirror your health

In the era of artificial intelligence and health tracking wearables, an exciting innovation is happening: the healthcare digital twin.

These AI-driven models use continuous personal data streams to simulate an individual’s biological and behavioral patterns. 

Unlike traditional medical records that capture single snapshots of health, digital twins continuously collect data from wearable devices, electronic records, genetic information, and environmental sensors.

Published in AI & Society, a new study titled The Shadow and the Self in Digital Twins in Healthcare as an AI Environment explores how this technology shapes patient care.

The research suggests that a digital twin also helps people understand medical information, make decisions, give consent, and more.

However, the study warns of significant ethical challenges. Continuous around-the-clock monitoring may induce self-surveillance and pressure patients into changing behavior. Sharing sensitive datasets creates severe privacy risks.