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Discriminative transformer models, particularly RoBERTa, enabled highly accurate automatic identification of CT requests requiring AP to be performed at PCCT, substantially outperforming general-purpose generative LLMs, and support this exploratory proof-of-concept study of AI-driven eligibility routing to optimize PCC...
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