Shape-informed cardiac mechanics surrogates in data-scarce regimes via geometric encoding and generative augmentation

Shape-informed cardiac mechanics surrogates in data-scarce regimes via geometric encoding and generative augmentation explores Develop a surrogate model framework for cardiac simulation that enhances generalization with geometric encoding for clinical application.. Commercial viability score: 6/10 in Medical AI.