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EHRAdapt, an adapter that maps tuples directly into a frozen language model's embedding space, outperforms text-based LLM and count-based baselines, and both pathways improve rare-disease discrimination.
Although frail patients are less likely to achieve enhanced recovery after surgery milestones, achievement of these milestones is associated with greater reductions in adverse outcomes.
Early insights from AIM-HI-funded projects to inform real-world AI implementation highlight that implementation success depends on thoughtful integration into clinical environments, strong partnerships with stakeholders, as well as sustained evaluation and monitoring.
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