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Training LLMs with expert ICU reasoning leads to significant improvements in clinical decision-making across diverse medical tasks.
Sound features dominate delirium prediction in ICUs, revealing a clinically significant role for ambient sensing in enhancing patient outcomes.
Federated learning can match or beat centralized models for predicting postoperative complications, all while keeping patient data siloed at each hospital.
