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Coronary Artery Disease Decision Support

EchoGoPro Ultromics

Machine learning decision support for Coronary Artery Disease

Green Line

EchoGo Pro provides reports to support physicians in the treatment of patients with suspected coronary artery disease. Through specialized image based machine learning, EchoGo Pro assists physicians identify heart disease risk rapidly to enable appropriate care.

The EchoGo Pro module can be added onto the EchoGo platform in the United Kingdom and the United States.

 

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EchoGo Pro Benefits

Green Line

Empowers Physicians

Empowers Physicians

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

 
Supports Earlier Prevention

Supports Earlier Prevention

Identifies indications of ischemia (CAD) with increased sensitivity, helping physicians detect early signs and enable preventative steps before a heart attack strikes, ultimately saving lives.

 
Reduces Misdiagnosis

Reduces Misdiagnosis

Allows improved identification of at-risk individuals to be treated quickly – and those not at risk to be spared from unnecessary tests, surgery and treatment.

Seamless Integration

Seamless Integration

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

Clinical validation

Green Line

EchoGo Pro was trialed 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.

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

Regional strain plots are investigational and pending letter to file

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