AI can accelerate data extraction and screening, but researchers remain responsible for every methodological judgement. Learn which systematic review tasks to automate and how to integrate AI safely using the Generate, Verify, Document framework.
An academic guide to protocol amendments and deviations in systematic reviews, including how to record what changed after protocol approval or registration, when it changed, why it changed, who approved it, and how the change.
An academic guide to how long does a systematic review take, including how to sequence protocol, searching, screening, extraction, appraisal, synthesis, and reporting with owners, dependencies, realistic milestones, and progress.
An academic guide to set up a systematic review project before the search begins, including how to set up a reproducible review workspace, folder structure, file-naming system, project checklist, and data-management foundation.
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