Leveraging open-source large language models (LLMs) in scoping reviews: a case study on disability and AI applications

The present study underscores both the potential and limitations of LLMs in automating scoping reviews. Automating the entire scoping review without human intervention is sub-optimal. Using a more controlled approach balances the strengths of LLMs with the need for human judgment, supporting not only the replication of scientific reviews but also their continuous refinement and follow-up over time.