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Abstract Automated segmentation of cardiac magnetic resonance (CMR) imaging is integrated into clinical workflows, yet comparative performance across vendor AI solutions remains insufficiently characterized. This study assessed three models (two commercial, one research) for short-axis cine segmentation in a diverse cohort of 346 cases, including dilated cardiomyopathy (DCM), left ventricular hypertrophy (LVH), healthy volunteers, and other cardiac diseases.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
