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.
Physics-Informed Neural Operator (PINO) for efficient coronary artery blood flow simulation replacing traditional CFD methods.
Wearable PPG-based system for real-time dehydration assessment and blood viscosity monitoring in clinical settings.
AI system for predicting fluid responsiveness using PPG spectrograms with ensemble deep learning models achieving AUC 0.85+
Optimized FFR prediction algorithm for diagnostic gray zone using hemodynamic features, synthetic models, and biometric data beyond conventional vessel imaging approaches.