CorVista Health, Inc
CorVista Health is dedicated to transforming cardiovascular care by developing innovative, non-invasive diagnostic solutions using machine learning and artificial intelligence. Their mission is to enable earlier detection, improve patient outcomes, and provide equitable access to high-quality cardiovascular diagnostics, especially in underserved and low-resource settings. They provide actionable cardiac diagnostics at the point of care, applying advanced machine learning for rapid and accurate diagnosis of cardiac disease, including coronary artery disease, pulmonary hypertension, and heart failure with preserved ejection fraction.
Industries
Nr. of Employees
small (1-50)
CorVista Health, Inc
Bethesda, Maryland, United States, North America
Products
Non-invasive point-of-care cardiac diagnostic system
A point-of-care capture device combined with cloud-based analytics that collects non-invasive cardiac and hemodynamic signals, applies machine-learned algorithms, and delivers clinician-facing diagnostic reports for conditions including coronary artery disease and pulmonary hypertension; designed for single-visit, multi-condition assessment and internet-deployable operation.
Non-invasive point-of-care cardiac diagnostic system
A point-of-care capture device combined with cloud-based analytics that collects non-invasive cardiac and hemodynamic signals, applies machine-learned algorithms, and delivers clinician-facing diagnostic reports for conditions including coronary artery disease and pulmonary hypertension; designed for single-visit, multi-condition assessment and internet-deployable operation.
Services
Clinical validation and trial execution
Design and conduct of blinded, multi-site clinical validation studies for diagnostic algorithms including independent dataset validation and subgroup analyses to produce regulatory-grade evidence.
Machine learning algorithm development and analytics
Remote and cloud-based development of supervised ML models, including feature engineering, iterative training, and performance testing on physiological signal datasets for multi-condition cardiac detection.
Commercial partnership and market entry support
Support for forming strategic partnerships, memoranda of understanding, and joint evaluations to enable regional deployment, licensing, and distribution.
Clinical validation and trial execution
Design and conduct of blinded, multi-site clinical validation studies for diagnostic algorithms including independent dataset validation and subgroup analyses to produce regulatory-grade evidence.
Machine learning algorithm development and analytics
Remote and cloud-based development of supervised ML models, including feature engineering, iterative training, and performance testing on physiological signal datasets for multi-condition cardiac detection.
Commercial partnership and market entry support
Support for forming strategic partnerships, memoranda of understanding, and joint evaluations to enable regional deployment, licensing, and distribution.
Expertise Areas
- Point-of-care cardiovascular diagnostics
- Supervised machine learning model development and validation for clinical use
- Non-invasive hemodynamic assessment and cardiac parameter estimation
- Blinded multi-center clinical study design and execution
Key Technologies
- Supervised machine learning for diagnostic classification and regression
- Orthogonal voltage gradient (OVG) signal acquisition
- Photoplethysmography (PPG)
- Cloud-based signal processing and secure web portal delivery