Journal of the mechanical behavior of biomedical materialsMaleHumansBiomechanical PhenomenaProstateNeural Networks
Physics-Informed Neural Networks (PINNs) for solving the forward and inverse problems of prostate biomechanics.
María Ferrón-Vivó, Enrique Nadal, José Manuel Navarro-Jiménez, Santiago Gregori, María José Rupérez
Published: 202610.1016/j.jmbbm.2025.107225
Abstract
This work introduces a novel integration of Physics-Informed Neural Networks (PINNs) with hyperelastic material modeling, employing the Neo-Hookean model to estimate the stiffness of soft tissue organs based on realistic anatomical geometries. Specif…
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