Computer-Aided Systematic Review Screening Comes of Age

Shekelle and colleagues describe important refinements to machine-learning software designed to reduce the need for human activity to identify relevant studies for a systematic review update. The editorialists discuss their findings and call on reviewers to evaluate these efficiency-boosting methods and reevaluate their approach to updating reviews.

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