Madrid launches AI-driven health monitoring for Parkinson and cardiac patients

Researchers at the Universidad Politécnica de Madrid have created a method that uses a smartwatch and artificial intelligence to detect motor changes associated with Parkinson's disease. Participants beat an egg for one minute while the device recorded wrist movements. The study involved 22 Parkinson's patients and 16 healthy controls, and the AI model achieved a 91.1% accuracy in distinguishing the groups.

The Hospital Universitario Ramón y Cajal has introduced CardiologIA Madrid 365, an AI-powered remote monitoring system for cardiac patients. The service tracks 28,000 individuals 24 hours a day, generating more than 11,000 alerts, including 400 critical ones, which have helped prevent heart attacks and deaths. Patients receive a kit with devices such as blood‑pressure cuffs, pulse‑oximeters and smartwatches, allowing clinicians to intervene early and reduce hospital admissions.