Article

LLM-Driven Target Trial Emulation with Human-in-the-Loop Validation for Randomized Trial: Automated Protocol Extraction and Real-World Outcome Evaluation <sup>Ψ</sup>

2026-04-10

Abstract excerpt

Target trial emulation (TTE) enables causal inference from observational data but remains bottlenecked by manual, expert-dependent protocol operationalization. While large language models (LLMs) have advanced clinical knowledge extraction and code generation, their ability to automate end-to-end TTE workflows remains largely unexplored. We present an LLM-driven framework using retrieval-augmented generation to ext...

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Literature Corpus work: 86b8dcab-1197-525c-85d3-3d04179a243d
DOI: 10.64898/2026.04.09.26350523

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