Scoping review of 134 studies on LLM-as-a-Judge in healthcare finds concentration in clinical decision support and NLP, frequent use of OpenAI models with prompt engineering, and moderate-to-strong human alignment where validated.
Lungren, and Thomas Osborne
2 Pith papers cite this work. Polarity classification is still indexing.
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FastOMOP is a multi-agent architecture using process-boundary deterministic validation to deliver safe, auditable real-world evidence generation from OMOP CDM data across synthetic and real datasets.
citing papers explorer
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LLM-as-a-Judge in Healthcare: A Scoping Analysis of Applications, Methods, and Human Alignment
Scoping review of 134 studies on LLM-as-a-Judge in healthcare finds concentration in clinical decision support and NLP, frequent use of OpenAI models with prompt engineering, and moderate-to-strong human alignment where validated.
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FastOMOP: A Foundational Architecture for Reliable Agentic Real-World Evidence Generation on OMOP CDM data
FastOMOP is a multi-agent architecture using process-boundary deterministic validation to deliver safe, auditable real-world evidence generation from OMOP CDM data across synthetic and real datasets.