AI enabled echocardiogram software

The EchoGo suite provides AI enabled echocardiogram software to support physicians in detecting cardiovascular disease. Echocardiogram images are automatically sent to Ultromics for analysis and artificial intelligence assists in identifying suspected heart disease, sending a report back within minutes. The system is zero click and has zero variability.

EchoGo Core

Automated calculations for EF, GLS and LV Volumes

EchoGo Pro

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.

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Rapid 'Zero Click' Analysis

Zero-click operations and AI service delivers simplicity through automation, potentially saving up to 15 mins per study

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High Precision

Accurately analyzes cardiac function, enabling physicians to make confident diagnostic decisions regardless of skill level

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Zero Variability

Automatically selects best clip, defines contours and quantifies cardiac analysis, delivering high reproducibility and accuracy with any vendor


Drives value for physicians in the United States through reimbursement. Physicians can report and bill for myocardial strain as of January 2020.

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Full Stack Service

Delivers analysis to any vendor at any scale site, through a cloud-based service with 24-hour support and class-leading security

Learn how EchoGo could benefit your medical practice

Get started with zero up front costs

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.

Empowers physicians

Accurate and fast analysis to enable physicians at any skill level to feel confident in making diagnostic recommendations to patients. Full automation reduces variability.

Enables earlier Prevention

Identifies the risk of heart disease, helping to detect early signs and enable preventative steps before a heart attack strikes, ultimately saving lives.

Reduces Misdiagnosis

Allows at-risk people to be treated quickly – and those not at risk spared acute events and unnecessary tests, surgery and treatment.

Seamless Integration

The system is zero click. Echocardiograms are automatically sent to Ultromics for analysis and a report is returned within minutes.

Learn how EchoGo could benefit your medical practice

Get started with zero up front costs

Performance testing and validation

EchoGo Pro was trialled in the UK and US and achieved a diagnostic performance of over 90% (AUROC), significantly reducing the number of misdiagnoses compared to reports of routine clinical practice. The technology has been validated and developed through its partnership in the EVAREST trial with the NHS, one of the largest ultrasound programmes in the world. It’s trained on past clinical examples, to spot thousands of features, compared to a handful of indicators in traditional visual inspection. The EVAREST validation trial continues to run in over 30 NHS hospitals and has recruited over 6000 patients to date.

Performance of the coronary artery disease classifier:

EchoGo Pro uses novel features derived from Stress Echo images and machine learning algorithms. The system was tested on an independent validation dataset demonstrating an area under the ROC curve of 0.927.

In a reader study to evaluate the benefit of EchoGo Pro in clinical settings, clinicians performed significantly better by diagnostic accuracy, with the aid of EchoGo Pro.

Our technology

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

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EchoGo Pro is limited by United States law to investigational use 

EchoGo Core is not CE Marked for use in the European Union