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FDA Clears AI-Powered EchoGo Core for Early Detection of Cardiovascular Disease

by Fred Pennic 11/15/2019 Leave a Comment

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FDA Clears AI-Powered EchoGo Core for Early Detection of Cardiovascular Disease

– Ultromics has just become one of the first companies to have 510(k) FDA clearance for an AI medical device.

– EchoGo will now be available for clinicians in the UK and US to use to help them identify cardiovascular disease earlier.

– EchoGo automates cardiac measurements and is the first AI application to measure cardiac strain, improving patient care and outcomes.

Ultromics, the UK-based health technology firm at the forefront of applying artificial intelligence to echocardiography has received 510(K) clearance from the U.S. Food and Drug Administration (FDA) for its image analysis system, EchoGo Core. The FDA clearance is a major milestone for Ultromics and enables the business to make EchoGo available to clinicians and healthcare providers in the US. EchoGo applies artificial intelligence (AI) to automate the analysis and quantification of ultrasound-based heart scans.

EchoGo has been years in development, from the first trial being set-up in 2011 to Ultromics spinning out of the University of Oxford in 2017, and now achieving FDA clearance. The next stage of growth is commercializing the product and making it available to clinicians.

How EchoGo Works

There are approximately 50 million heart scans conducted a year in the US, and cardiovascular disease is the number one global killer. Traditionally, echocardiography has relied on the expert eye of clinicians, with years of experience, measuring the anatomical structures and identifying the disease, a potentially time-consuming and highly variable process. 

EchoGo is a vendor-neutral platform, which harmoniously integrates into the medical imaging environment, seamlessly providing clinicians with results as part of their routine diagnostic workflow. This ensures fast, efficient and accurate AI-assisted echocardiogram analysis, to enable the highest quality patient care in healthcare institutions globally.

By automating the process and applying its AI analysis to look in greater detail at the scans, EchoGo enables clinicians to interpret echocardiograms efficiently and accurately and assists in their decision-making. EchoGo uses AI to calculate left ventricular ejection fraction (EF), the most frequently used measurement of heart function, left ventricular volumes (LV) and, for the first time for an AI application, automated cardiac strain.

Ultromics has partnerships with leading cardiology clinical centers in the United States and 30 NHS centers in the UK. Through this, it is continuously optimizing its scanning algorithms by analyzing the archive of scans held by these centers. The pipeline of AI algorithms underpinning EchoGo was built using thousands of images from a carefully curated dataset, from one of the largest echo studies of its kind.

Leveraging The Power to AI, Automated Cardiac Strain

“Strain has shown to be very valuable in cardiovascular diagnostics and has been demonstrated in published studies to be linked with earlier detection of disease and improved patient outcomes. Ultromics’ will be the first to use artificial intelligence for automated strain analysis which is applicable to 60 million scans per year. Crucially, strain is also becoming reimbursable from January 2020 in the U.S. EchoGo allows clinicians across a wide range of experience to rapidly obtain accurate and repeatable calculations of strain parameters, assisting them in interpretation of echocardiograms”.

“We have more developments planned in 2020, including EchoGo Pro. It will be the first AI system able to predict cardiac disease from echocardiography. We are also planning to expand into other geographic regions including Europe and Asia. Our goal is to improve patient outcomes through earlier detection of cardiac disease.”

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Tagged With: AI, algorithms, Artificial Intelligence, Cardiac Devices, Cardiac Monitoring, dataset, FDA, FDA Clearance, FDA clearance 510k, FDA Cleared Devices, Heart, Medical Device, NHS, Patient Care, Ultrasound

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