cardioGuard
AI driven decision support engine to Predict and Prevent CardioVascular Hospitalizations
Dynamic Risk Scoring
Our proprietary algorithm integrates three established cardiovascular risk scoring systems (TIMI, GRACE, HEART) and sends alerts to physicians when two out of the three scores reach critical thresholds, enhancing monitoring post-hospitalization.
Wearable Sensor Integration
CG with everyday vitals data tracks dynamic health metrics and provides real-time monitoring of patients outside the hospital.
Enhanced Early Detection
Using real-time data from wearables, CG can detect key signs of risk, such as ST-segment elevation, enabling early intervention and improving patient outcomes.
Machine Learning for Precision
CG’s algorithm learns from patient data and outcomes, refining its ability to predict and detect critical health events, improving alert accuracy over time.
Extended Care Beyond the Hospital
By combining both static hospital measures and dynamic real-world data from wearables, CG enhances long-term patient monitoring and supports ongoing clinical decision-making.