Publications by authors named "Kristine Aavild Juhl"
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Synopsis of recent research by authors named "Kristine Aavild Juhl"
- Kristine Aavild Juhl's research focuses on the application of deep learning techniques to enhance the modeling of thrombotic risks associated with the left atrial appendage in patients with atrial fibrillation.
- Her study proposes a novel deep learning framework that predicts endothelial cell activation potential (ECAP) using patient-specific LAA morphology, aiming to offer a more efficient alternative to traditional computational fluid dynamics (CFD) simulations.
- The findings suggest that this deep learning approach can significantly reduce computation time while maintaining accuracy in predicting thrombosis risk, thus facilitating personalized patient care in cardiovascular health management.
