M. Aghevli

A multi-stage validation framework for trustworthy large-scale clinical information extraction using large language models

Abstract Large language models (LLMs) show promise for extracting clinically meaningful information from unstructured health records, yet real-world deployment is constrained by limited scalable, trustworthy validation approaches. Conventional evaluation relies on annotation-inte...