Accelerating medical systematic reviews with large language models: performance, consistency, and potential issues

This review examines empirical evaluations of large language models across five stages of medical systematic reviews: literature search, title-and-abstract screening, full-text screening, data extraction, and quality assessment. It considers performance, agreement with human reviewers, run-to-run reproducibility, and efficiency, and discusses implications for human oversight in evidence synthesis.