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Early evidence suggests that medical world models could revolutionize patient care by enabling dynamic, intervention-responsive AI systems, but critical hurdles remain.
Current evaluation practices for agentic AI in medicine are misaligned with clinical needs, risking the reliability of these systems in real-world applications.
Jointly estimating the B0 field and distortion-free images directly from k-space data leads to unprecedented improvements in MRI accuracy and detail fidelity, especially in challenging high b-value scenarios.
