arXiv AI
ARCagent: An Adaptive Retrieval Calibration Agent for Clinical Question Answering
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Retrieval-Augmented Agentic Rubric Generation for Reliable Medical Response Evaluation
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arXiv Computer Vision
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Sparse Multi-Stage Expert-Agent Routing for Complex Clinical Reasoning
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A corpus-specific clinical RAG system matches or outperforms newer frontier LLMs on HealthBench
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Guideline-grounded retrieval-augmented generation for ophthalmic clinical decision support
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A Living Benchmark for Information Retrieval from Electronic Health Records
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arXiv AI
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ClinAgent: A ReAct-Based Agent for Conversational Access to Clinical Trial Information
ClinAgent is a conversational system that uses a ReAct-based LLM agent to retrieve and synthesize clinical trial information from multiple sources such as ClinicalTrials.gov, PubMed, and a local dataset. The agent iteratively reasons over user queries, selects appropriate tools, and refines its actions to provide grounded, up-to-date responses in natural language across multi-turn interactions. Evaluation across three phases shows that DeepSeek (thinking mode) excels in planning quality while Gemini 3.0 Flash delivers the highest overall performance and expert ratings, demonstrating the promise of agentic AI for improving clinical trial data access.