Unsupervised machine learning generated clusters of left ventricular strain curves identifies patients in risk of heart failure and cardiovascular death following acute myocardial infarction
Artificial intelligence-guided image acquisition on patients with implanted electrophysiological devices: Results from a pivotal prospective multi-center clinical trial
Using deep learning to extract novel and quantitative imaging features from perfluoropropane contrast, sulphur hexafluoride contrast and non-contrast stress echocardiography images
The value of 3D-speckle tracking longitudinal strain for the assessment of left ventricular function recovery in ischemic heart failure patients undergoing surgical remodeling:the RECOVERY-IN study
Speaker:
Doctor S. Castelvecchio (San Donato Milanese, IT)