A Physics-Informed Neural Network Surrogate for Patient-Specific Hepatic Arterial Hemodynamics in Yttrium-90 Radioembolization: Network Architecture, Boundary-Condition Enforcement, and Data Efficiency
Erfan Taatizadeh, Nisanth Kumar Panneerselvam, Emilie Roncali
This paper develops a physics-informed neural network surrogate for predicting hepatic arterial flow in Y-90 radioembolization, showing that data fraction is more critical than architecture for accuracy.
bioRxiv · Sep 28, 2026 · PreprintBioengineering