Automated solutions to support physicians in detecting cardiovascular disease
Automated solutions for detecting coronary heart disease
Ultromics is championing a new era of medical diagnosis through innovating new automated tools to support physicians in the detection of cardiovascular disease. Our technology was born at the University of Oxford and has since attracted a global collaboration of scientists and engineers dedicated to reducing misdiagnosis and healthcare costs by making artificial intelligence intrinsic to the diagnostic process. We are aiming to drive ROI for health systems through faster workflows and reimbursement.
Echocardiogram images are automatically sent to Ultromics for analysis and artificial intelligence assists with identifying suspected heart disease, sending a report back within minutes. The system is zero click and has zero variability.
Automated calculations for EF, GLS and LV Volumes
Automated prediction for coronary artery disease
EF, GLS and LV Volumes with Zero Variability
EchoGo Core is the automated solution for cardiovascular findings – calculating Ejection Fraction, Global Longitudinal Strain and Left Ventricular Volumes.
Provides physicians at any skill level with highly reproducible, vendor-neutral analysis which can enhance confidence in making diagnostic decisions.
Performance testing and validation
Accuracy and precision of EchoGo were assessed against EF, GLS and LV Volumes produced by other commercially available software that required manual contouring. Images were processed by five trained professionally accredited operators*. EchoGo was shown to provide accurate and robust measurements of EF, GLS and LV volumes. It also showed zero variability.
*BSE accredited echocardiographers & board-certified cardiologists
Strain reimbursed from January 2020
EchoGo Core allows physicians to measure strain in an automated means with zero variability, which could increase reimbursement and save time.
Speak to us for assistance with setting up strain
Coronary Artery Disease Prediction
Outcomes-based AI system that predicts coronary artery disease, before it becomes acute.
The pipeline of AI algorithms underpinning EchoGo was built in partnership with the NHS in the United Kingdom and leading cardiology clinical centres in the United States, all of which have expertise in echocardiography, vascular assessment and clinical physiology. These have provided access to large imaging archives suitable for training and validation of EchoGo.
The system consists of several fundamental computational phases:
Convolutional neural networks (CNN) applied to the automation of left ventricle (LV) segmentation
Models were created using thousands of echocardiographic images in the two and four chamber views
Cardiac cycles are determined using a complex algorithm to detect the correct end-diastolic (ED) and end-systolic (ES) frames
The EchoGo pathway - straightforward architecture and strong privacy-by-design
Echo images acquired and transferred to Ultromics
Quality Assurance checks of echo images
Neural network defines contour
Features are automatically extracted
Trained model is applied
Model generates data
Report is generated
Report is sent back into PACS/EHR
Learn how EchoGo could benefit your medical practice
Get started with zero up front costs
EchoGo Pro is limited by United States law to investigational use
EchoGo Core is not CE Marked for use in the European Union