Accurately track endocardial boundaries and measure left ventricular (LV) volumes for end-systolic and end-diastolic frames.
Auto report left ventricular ejection fraction (LVEF), the most commonly used measure of systolic function, with zero operator variability. Assess the severity of systolic function with the same accuracy every time.
Fully automate the measurements of global longitudinal strain (GLS) and regional strain (RS) at scale with zero variability across your enterprise. Cardiac strain is a a powerful diagnostic indice for heart failure, cardio-toxicity, cardio myopathy, amyloid, and other forms of cardiac disease.
Because of the revolutionary use of AI to automate the entire echo analysis pathway, EchoGo provides zero variability analysis for sonographers and cardiologists.
EchoGo is the only echocardiography analysis solution that eliminates all the manual steps, including view classification, contouring, cycle selection and extraction, and quantification of diagnostic and prognostic Indicators.
Ultromics maintains exclusive access to one of the largest outcome-based datasets in the world. The unique and patented architecture has been proven to produce measurements so accurate and precise that they can predict patient outcomes.
Selecting a central echo analysis solution was key for us. A huge advantage of using Ultromics’ software was that studies could be easily automated and moved around by all of our Core labs across the world. DICOM data could be securely de-identified and sent up and processed in the cloud and accessed from any location.
Ultromics’ AI platform was enormous value in the recent WASE study. It was able to predict patient mortality in the COVID population, when manual analysis could not. The platform was able to almost completely eliminate variability between operators, this lower variability of measurements led to a higher predictive value.
AI services like EchoGo can help automate time-consuming, manual analysis required by doctors when diagnosing heart disease - identifying disease faster, reducing patient backlog
and helping to save lives.