OXFORD, U.K., July 22, 2026 — Ultromics, a pioneer in AI-driven cardiology solutions, today announced results from an independent clinical data set that shows the company’s EchoGo® Heart Failure AI algorithm could identify patients with heart failure with preserved ejection fraction (HFpEF) up to nine months earlier than standard clinical care, leading to significant potential improvements in patient outcomes and reductions in overall healthcare costs. Intended to help health systems better understand the potential clinical and economic value of cardiovascular and stroke-focused AI, the Impact Report, leverages independent clinical and image data through the American Heart Association AI Assessment Lab, which provides scientifically rigorous evaluations of cardiovascular and stroke AI algorithms. The Assessment Report is based on an independent data set curated by Dandelion Health, a real-world data and clinical AI platform powering next-generation precision medicine and personalized care.

Publish date

July 22, 2026