… We show that this continuous learning approach can predict … anatomical information and
haemodynamic measurements, … in applying deep learning-based frameworks to predict TAA …

… On high resolution 3D CT angiograms, the feasibility of accurate carotid artery segmentation
… ,25 a fast, machine learning based method to automatically extract the aortic lumen from 3D …

… the 3D coronary artery haemodynamics in less than 10 s. … for the machine learning models
of pressure in aortic flows … refine accuracy of the machine learning model predictions in future, …

… study was to investigate the feasibility of machine learning-… varied to simulate arterial
haemodynamics with the presence … to optimise the predictive power of machine learning …

… that combines hemodynamic modelling and machine learning (… hemodynamic assessment
at catheterization cannot predict … Herein we demonstrate the feasibility of using 3DRA data to …

… predicts passive myocardial properties directly from select geometric, architectural, and
hemodynamic … an unmet need to create a predictive, yet clinically feasible, modeling tool to infer …

… performance of the CNN was similar to human readers [1▪] . … machine learning methods
demonstrate improved prediction of … thus far remain early feasibility studies. In upcoming years, it …

… of stress analysis of the human thoracic aorta. Given an input … As a feasibility study, the
training and testing data were … TAVR FEA can predict adverse clinical events such as aortic …

… be critically interpreted: Is this feasible for all cardiovascular … such as predicting pressure
drop across an aortic valve or a … of the studies that have used ML to predict hemodynamics. It …

… aorta and global thoracic aorta and clinical, hemodynamic and … biomechanical thoracic
aorta properties for the prediction of … This study was a single-center feasibility study in a small …