Z. Jing

An auditable evidence compiler for large language model-assisted systematic reviews

Background: Large language models (LLMs) can support systematic reviews, but accurate individual outputs do not establish whether the final synthesis preserves the clinical question, accounts for statistical dependence and incorporates corrections. Objective: To develop and evaluate a framework linking LLM-assisted evi...