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Clinician-centered evaluations reveal that later active learning models are preferred, underscoring the importance of usability in ultrasound AI systems.
FOCAL-Attention resolves the inherent coverage-anchoring conflict in heterogeneous graph learning, outperforming existing methods in multi-label node classification.
