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Peer-Reviewed Publication
ESC Heart Fail2026;13(2)March 3, 2026Journal Article

Invasive haemodynamic validation of an artificial intelligence echocardiographic tool for detecting heart failure with preserved ejection fraction.

Ryan Sachar1, Maria Latz2, Tess Allan3, John E Blair4, Gene Kim2, Jonathan Grinstein2, Gary Woodward5, Roberto Lang2, Mark N Belkin2
1Section of General Internal Medicine, University of Chicago Medicine, Chicago, IL, USA.
2Section of Cardiology, University of Chicago Medicine, 5841 South Maryland Avenue, MC 6092 Chicago, IL 60637, USA.
3Division of Cardiology, Duke University Medical Center, Durham, NC, USA.
4Division of Cardiology, University of Washington, Seattle, WA, USA.
5Ultromics Ltd, Oxford, UK.

Abstract

INTRODUCTION: To externally validate an FDA-approved artificial intelligence (AI) tool for detecting heart failure with preserved ejection fraction (HFpEF) using echocardiographic video clips, comparing its performance to invasive haemodynamic criteria in a real-world referral cohort with unexplained dyspnoea. METHODS: We retrospectively analysed 47 patients who underwent transthoracic echocardio…

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