Researchers have introduced FUGenerator, a multimodal artificial intelligence platform combining knowledge graphs and traceable node workflows to streamline architectural design ...
A retrospective case-control study found that a retrieval-augmented large language model identified severe early deterioration in Category 3 emergency department ...
Researchers have conducted an exhaustive survey into retrieval-augmented generation across artificial intelligence generated content, establishing a structured taxonomy connecting information ...
A controlled adversarial stress test reveals that asymmetric agentic verification does not outperform simpler retrieval-augmented generation at detecting hallucinated clinical ...
A peer-reviewed supplement published in BMC Proceedings compiles thirteen meeting abstracts from EHRCON25 evaluating semantic modeling, artificial intelligence integration, and ...
A study in Machine Learning with Applications shows that retrieval-augmented generation significantly improves the diagnostic performance of compact large language ...
Researchers have introduced an on-demand data augmentation framework that identifies sparse multi-dimensional intervals and topics to generate realistic synthetic samples ...
A study shows that delaying conversation history compression until query time improves answer accuracy in long-running artificial intelligence dialogues.
A hierarchical multi-agent reinforcement learning system combining conservative value estimation with guideline retrieval achieved a 49.9 percent agreement rate with ...
A multi-agent retrieval-augmented framework coordinates specialized language models to deliver structured, rubric-aligned feedback on student writing while restricting direct answer ...
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