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Capturing the dynamic nature of post-operative recovery, this model predicts long-term recurrence risk with impressive accuracy, outperforming traditional static approaches.
Diffusion models can generate synthetic cardiac MRIs that balance image quality, downstream task performance, and patient privacy better than flow-based alternatives, offering a promising route to data augmentation in medical imaging.