#clinical-guidelines News & Analysis

3 articles tagged with #clinical-guidelines. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBearisharXiv – CS AI · Mar 277/10

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A Decade-Scale Benchmark Evaluating LLMs' Clinical Practice Guidelines Detection and Adherence in Multi-turn Conversations

Researchers introduced CPGBench, a benchmark evaluating how well Large Language Models detect and follow clinical practice guidelines in healthcare conversations. The study found that while LLMs can detect 71-90% of clinical recommendations, they only adhere to guidelines 22-63% of the time, revealing significant gaps for safe medical deployment.

AINeutralarXiv – CS AI · Mar 267/10

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From Guidelines to Guarantees: A Graph-Based Evaluation Harness for Domain-Specific Evaluation of LLMs

Researchers developed a graph-based evaluation framework that transforms clinical guidelines into dynamic benchmarks for testing domain-specific language models. The system addresses key evaluation challenges by providing contamination resistance, comprehensive coverage, and maintainable assessment tools that reveal systematic capability gaps in current AI models.

AINeutralarXiv – CS AI · Feb 274/106

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FHIR-RAG-MEDS: Integrating HL7 FHIR with Retrieval-Augmented Large Language Models for Enhanced Medical Decision Support

Researchers propose FHIR-RAG-MEDS, a system integrating HL7 FHIR healthcare standards with Retrieval-Augmented Generation to enhance personalized medical decision support. The study addresses the gap in practical applications of combining RAG and FHIR technologies for evidence-based clinical guidelines.