… predict dissection progression and mechanical behaviour in a heterogeneous aortic wall using
scientific machine learning. … (4.88%), exhibiting its practicality in a more realistic scenario. …

… in the prediction of flow patterns in the thoracic aorta. With … the best of our knowledge, not
feasible non-invasively. For the … Fluid structural analysis of human cerebral aneurysm using …

… of Andersen and colleagues [15] in an animal model, a human … We know that the predicted
mortality for the operable … that if we had even any minor hemodynamic problems we would put …

… The hemodynamic recordings were processed using the QUANTIEN integrated … The primary
end point of this study was per vessel diagnostic performance of CT-FFR to predict ischemia…

… 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 …

… aortic CECTA acquisition protocols for ideal bolus geometry by applying machine learning …
pressure to simulate human circulation, since the reliability of this feasibility study depends on …

… equations using a neural network to predict flow and pressure … also challenging to be
identified by human observers. Both … (86) the hemodynamics of the thoracic aorta in 4D flow MRI …

… 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 …

… , while being able to accurately predict time-varying pressure and flow … its feasibility for an
accurate clinical assessment. The computation time ranged from 6 to 8 min, making it feasible …

… by CFD simulations in the thoracic aorta and modified to be consistent … , some investigators
have examined the feasibility and … The prediction of other hemodynamic parameters was less …