New AHA report highlights Ultromics’ AI tool’s benefit in earlier heart failure diagnosis
A new report from the American Heart Association indicates that Ultromics' EchoGo AI tool can detect heart failure with preserved ejection fraction up to nine months earlier than standard care. The tool automates echocardiogram analysis to improve diagnostic accuracy and reduce manual errors.
Why it matters
Early detection of heart failure significantly improves patient outcomes and reduces the long-term economic burden on healthcare systems.
The AHA’s Impact Report was created using independent clinical and image data through its AI Assessment Lab.
The AHAs report on Ultromics’ AI tool found that it could detect heart failure and preserved ejection fraction (HFpEF) up to nine months earlier than standard clinical care. Credit: Shutterstock/U.P.SD Findings from a new report by the American Heart Association (AHA) suggest that Ultromics’ EchoGo Heart Failure artificial intelligence (AI) algorithm could identify patients with heart failure and preserved ejection fraction (HFpEF) up to nine months earlier than standard clinical care.
The Oxford, UK-headquartered company’s AI tool is designed to automate the analysis and measurement of echocardiograms. By eliminating manual tracing, the tool has been developed to standardise diagnoses and reduce operator variability in the identification of HFpEF and other conditions such as cardiac amyloidosis.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in