Health Systems and Private Practices
We have a strong history of collaboration with Mayo Clinic, including the creation of a research program to apply AI forecasting to heart failure. Our combined team used AI analysis of ultrasound heart scans to identify the markers of heart failure and develop an image analysis risk prediction model to alert doctors to potential heart failure.
Mayo Clinic
We have a strong history of collaboration with Mayo Clinic, including the creation of a research program to apply AI forecasting to heart failure. Our combined team used AI analysis of ultrasound heart scans to identify the markers of heart failure and develop an image analysis risk prediction model to alert doctors to potential heart failure.
Amarillo Cardiology Center
The Cardiology Center of Amarillo adopted EchoGo® Heart Failure in 2023 to support the detection of patients with heart failure with preserved ejection fraction (HFpEF).
HFpEF is an underdiagnosed problem that is common and causes significant illness. Diagnosis can be the most difficult part of the process. Using EchoGo® Heart Failure has added a novel component which has helped Amarillo’s screening and diagnosis process.
National Health Service UK (NHS)
Ultromics undertook a study in collaboration with Buckinghamshire Healthcare NHS Trust, Great Western Hospitals NHS Foundation Trust, Milton Keynes University Hospital NHS Foundation Trust, John Radcliffe Hospital, Oxford; Royal United; Royal Berkshire NHS Foundation Trust, and St George’s University Hospitals NHS Foundation Trust, London to establish whether the diagnostic accuracy of Stress Echocardiography (SE) can be increased by left ventricular (LV) assessment with AI.
Thanks to our collaboration with these centers, the study confirmed that AI calculation of left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS) by contouring of contrast-enhanced and unenhanced SEs at rest and stress was feasible and independently improved the identification of obstructive coronary artery disease beyond conventional methods alone.
