From Pixels to Patterns: Radiomic Subphenotyping of Left Ventricular Hypertrophy on Echocardiography
- PMID: 40326361
- DOI: 10.1161/CIRCIMAGING.125.018291
From Pixels to Patterns: Radiomic Subphenotyping of Left Ventricular Hypertrophy on Echocardiography
Keywords: Editorials; deep learning; humans; myocardium; phenotype.
Conflict of interest statement
Dr Khera is an Associate Editor of JAMA and receives research support, through Yale, from the Blavatnik Foundation, Bristol-Myers Squibb, Novo Nordisk, and BridgeBio. He is a coinventor of Pending Patent Applications WO2023230345A1, US20220336048A1, 63/346610, 63/484426, 63/508315, 63/580137, 63/606203, 63/619241, and 63/562335, and a cofounder of Ensight-AI, Inc and Evidence2Health, LLC. Dr Oikonomou is a cofounder of Evidence2Health LLC, a coinventor in patent applications 18/813882, 17/720 068, 63/508 15, 63/580137, 63/619241, 63/562335, and granted patents US12067714B2, US11948230B2, has been a consultant for Caristo Diagnostics, Ltd, and Ensight-AI, Inc, and has received royalty fees from technology licensed through the University of Oxford.
Comment on
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Artificial Intelligence-Enhanced Analysis of Echocardiography-Based Radiomic Features for Myocardial Hypertrophy Detection and Etiology Differentiation.Circ Cardiovasc Imaging. 2025 May;18(5):e017436. doi: 10.1161/CIRCIMAGING.124.017436. Epub 2025 Mar 27. Circ Cardiovasc Imaging. 2025. PMID: 40143828
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