A physics-integrated deep learning approach using a hybrid 1D CNN-LSTM neural network to estimate patient-specific non-Newtonian blood viscosity from photoplethysmography (PPG) …
Analyzed hemodynamic features to optimize tricuspid membrane design, balancing treatment effectiveness with valve damage prevention using lattice Boltzmann method and immersed …
Addressed limitations in AI-based coronary diagnosis by incorporating hemodynamic flow features and biometric data beyond vessel imaging alone, improving FFR prediction accuracy in …
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