Work

Association of a Novel Echocardiographic Artificial Intelligence Model With Invasive Hemodynamics to Automate Detection of Heart Failure With Preserved Ejection Fraction

Year: 2026

Type: article

Abstract: Heart failure (HF) affects up to 1 in 4 adults in their lifetime; half of these patients are classified as HF with preserved ejection fraction (HFpEF).1 HFpEF is a highly heterogenous syndrome, making diagnosis complex without invasive hemodynamic assessment.2 Artificial intelligence (AI) applied to transthoracic echocardiograms (TTE) has demonstrated excellent discrimination of HFpEF, more often than clinical scores.3 While initial validation of such models have shown promise, their correlation with gold-standard invasive hemodynamics has yet to be evaluated.

Source: Structural Heart

DOI: 10.1016/j.shj.2026.101120