Large Language Models for Structured Clinical Data Analysis: Dual-Agent Grounding and Validation

arXiv:2609.34039 · cs.AI · Submitted 2026-09-28 · Read on arXiv

cs.AI

Submitted: 2026-09-28

Updated: 2026-09-28

Comments: 22 pages, 2 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Abstention — 20× in this paper · explained in 1 episode
• Accuracy — 17× in this paper · explained in 1 episode
• Provenance — 15× in this paper · explained in 3 episodes
• Benchmark — 12× in this paper · explained in 2 episodes
• Consistency — 10× in this paper · explained in 3 episodes
• Text-to-SQL — 8× in this paper · explained in 3 episodes
• Neonatal Research Network — 7× in this paper
• Core — 6× in this paper · explained in 2 episodes
• Optimizing Cooling — 5× in this paper
• Grounding — 4× in this paper · explained in 3 episodes
• Late Hypothermia — 4× in this paper
• Aggregation — 3× in this paper · explained in 1 episode
• Fidelity — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• RAG — 3× in this paper · explained in 3 episodes
• AI Agents — 2× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Generalization — 2× in this paper · explained in 13 episodes
• Structured Query Language — 2× in this paper
• Consortium Of MRI Biomarker In Neonatal Encephalopathy — 1× in this paper
• Data and Specimen Hub — 1× in this paper
• Epistemic Uncertainty — 1× in this paper · explained in 9 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• HuatuoGPT, towards Taming Language Model to Be a Doctor
• BianQue: Balancing the Questioning and Suggestion Ability of Health LLMs with Multi-turn Health Conversations Polished by ChatGPT
• DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation
• Towards Building Multilingual Language Model for Medicine
• Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture
• Automating Pharmacovigilance Evidence Generation: Using Large Language Models to Produce Context-Aware SQL
• Towards Understanding the Generalization of Medical Text-to-SQL Models and Datasets
• Toolformer: Language Models Can Teach Themselves to Use Tools

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