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Author

A. Azad

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Review Open access Oct 2026

Real-time deep learning echocardiographic global longitudinal strain improves agreement with cardiac magnetic resonance feature tracking compared to a conventional workflow

Left ventricular (LV) global longitudinal strain (GLS) improves detection of systolic dysfunction and prognostic assessment compared to ejection fraction, yet conventional semi-automatic workflows are time-consuming and operator dependent. Deep learning (DL)-based GLS analyses may address these challenges, but va...

V. Holmstrøm, E. Smistad, S. Stolen et al. · 0 citations

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