The field of cardiovascular imaging is entering an exciting era of accelerated innovation, fueled by advances in hardware, reconstruction algorithms, and artificial intelligence. Each imaging modality-echocardiography, computed tomography, cardiac magnetic resonance, and nuclear imaging-continues to evolve, with distin...
C. Gräni, Chiara Bucciarelli-Ducci, M. Dweck et al.· JACC Cardiovascular Imaging· 0 citations
The authors' explainable, multimodal AI-based model for predicting long-term outcomes in the TAVI population substantially outperformed conventional risk scores and showed robust generalisability across diverse TAVI populations and clinical settings.
I. Shiri, D. Tomii, Giovanni Baj et al.· The Lancet Digital Health· 0 citations
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