… on machine learning−based models to predict CVD and ML−based vascular hemodynamic
… Their results demonstrated that it was feasible to establish a plaque detection system based …

… Machine learning can predict outcomes and make decisions … architectures, the training of
such networks become feasible … of machine learning in hemodynamic analysis and monitoring…

… representation of AAA by creating a patient-specific hemodynamics model during baseline.
Subsequently, predictive hemodynamic biomarkers such as structural stress and wall shear …

… Machine learning algorithms have wide applications in … the geometric parameters from
human aorta, and we performed … The velocity and pressure field predicted by PINN yielded good …

… Clinical studies have investigated the arterial hemodynamics in normal and diseased …
present study, we suggested that the prediction of the cardiac contractility index of E es is feasible …

… In this study, we developed a machine learning-based surrogate model to directly predict
a … [[35], [36], [37]] and computational fluid dynamics (CFD) based hemodynamic analysis [38]. …

… difficult for humans to distinguish. Therefore, in this … study, we suggested a novel CNN-based
deep learning model and investigated the effects of hemodynamic factors on the prediction …

… associated with aortic wall degeneration [6] and predicted the rate … with humans in the
identification of landmarks in the thoracic aorta, … flow descriptors from 4D flow CMR is feasible. The …

… our flexible deep learning model can accurately predict 3D … in stress and hemodynamics
prediction in the aorta [10, 11]. … mesh convolutional networks are a feasible approach to CFD …