DeepONet Cardiovascular Modeling
Deep Operator Network for cardiovascular hemodynamics modeling with physics-informed constraints for patient-specific predictions.
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Deep Operator Network for cardiovascular hemodynamics modeling with physics-informed constraints for patient-specific predictions.
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 …
Optimized FFR prediction algorithm for diagnostic gray zone using hemodynamic features, synthetic models, and biometric data beyond conventional vessel imaging approaches.