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Current AI models for liver fibrosis staging can match expert radiologists in some settings, but real-world clinical deployment is still hampered by data heterogeneity and label imbalance.
EDL's seemingly disparate variants are unified under a single Bayesian umbrella, offering a principled path to uncertainty estimation.
Reconstructing high-fidelity 3D heart models from noisy radar data is now possible, thanks to a novel mesh deformation approach that leverages physics-informed learning.
