Evidence supported GenAI use for high-recall title/abstract screening and structured first-pass data extraction within human-in-the-loop workflows with explicit oversight, and performance was most reliable within clearly defined workflows.
R. Fleurence, Riaz Qureshi, Rakesh Aggarwal et al.· Value in Health· 0 citations
GenAI can improve efficiency across multiple SLR tasks when used in hybrid human-AI workflows when used in hybrid human-AI workflows, and current evidence supports targeted, task-specific adoption with transparent reporting and human oversight, rather than full automation.
R. Fleurence, Riaz Qureshi, Rakesh Aggarwal et al.· Value in Health· 1 citation
This study formalizes Autonomous Agentic Data Engineering, a novel task designed to evaluate LLMs as autonomous data engineers that drive model specialization through end-to-end data curation, and charts a path toward agent-driven model specialization.