… study, we present a novel ML approach (Fig. 1) for fast and accurate hemodynamic analysis
of human thoracic aorta… representations of aorta shapes and flow fields for machine learning. …

… This work involved human subjects or animals in its research. Approval of all ethical and …
we investigated the feasibility of deep learning methods for AAA growth prediction at yearly time …

… architecture of choice for the ML based prediction of hemodynamic parameters in this study.
… , “A feasibility study of deep learning for predicting hemodynamics of human thoracic aorta,” …

… This technology has been made more feasible in recent years … A deep learning approach
to predict abdominal aortic aneurysm … hemodynamic models of coarctation of the aorta using …

… In this study, with the aim of predicting 3D hemodynamics in … stenosis (eg, geometry containing
aorta, coronary arteries, and … and feasible improvements in the prediction error analysis …

… as aneurysms or aortic valve disease can also have an effect on … Further, our approach can
only give the prediction of the … It is feasible to use the technology of DL to solve the parameter …

… in this review: hemodynamics of aorta, cerebral hemodynamics, … the feasibility of using deep
neural networks (DNNs) for … machine learning model predictions and the CFD results. The …

… 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 …

… study thus points to the potential and feasibility of the CFD-driven, DL-based methodology
in predicting the 3D and transient hemodynamics … The studies involving human participants …

… combined using machine learning, the prediction performance of … between human
segmentation and deep learning-based … for AAA segmentation in this feasibility study. Both …