Detalhe da pesquisa
1.
Invasive Assessment of Right Ventricular to Pulmonary Artery Coupling Improves 1-year Mortality Prediction After Transcatheter Aortic Valve Replacement and Anticipates the Persistence of Extra-Aortic Valve Cardiac Damage.
Struct Heart
; 8(3): 100282, 2024 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-38799808
2.
Machine learning identifies pathophysiologically and prognostically informative phenotypes among patients with mitral regurgitation undergoing transcatheter edge-to-edge repair.
Eur Heart J Cardiovasc Imaging
; 24(5): 574-587, 2023 04 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-36735333
3.
Artificial intelligence-enabled phenotyping of patients with severe aortic stenosis: on the recovery of extra-aortic valve cardiac damage after transcatheter aortic valve replacement.
Open Heart
; 9(2)2022 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-36261218
4.
Solving the Pulmonary Hypertension Paradox in Patients With Severe Tricuspid Regurgitation by Employing Artificial Intelligence.
JACC Cardiovasc Interv
; 15(4): 381-394, 2022 02 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-35210045
5.
Harnessing feature extraction capacities from a pre-trained convolutional neural network (VGG-16) for the unsupervised distinction of aortic outflow velocity profiles in patients with severe aortic stenosis.
Eur Heart J Digit Health
; 3(2): 153-168, 2022 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-36713009
6.
Subphenotyping of Patients With Aortic Stenosis by Unsupervised Agglomerative Clustering of Echocardiographic and Hemodynamic Data.
JACC Cardiovasc Interv
; 14(19): 2127-2140, 2021 10 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-34620391