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-intensive reference standards and incomplete...
Maria Mahbub, Gregory M. Dams, Josh Arnold et al.
· npj Digital Medicine · 0 citations