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Machine learning for accelerating screening in evidence reviews

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2010Seventy-Five Trials and Eleven Systematic Reviews a Day: How Will We Ever Keep Up?1,185 cited
2021An open source machine learning framework for efficient and transparent systematic reviews1,149 cited
2015Using text mining for study identification in systematic reviews: a systematic review of current approaches680 cited
2014Systematic review automation technologies471 cited
2020Software tools to support title and abstract screening for systematic reviews in healthcare: an evaluation448 cited
2020Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews252 cited
2020Single-reviewer abstract screening missed 13 percent of relevant studies: a crowd-based, randomized controlled trial206 cited
2018Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR)191 cited
2021Research Screener: a machine learning tool to semi-automate abstract screening for systematic reviews190 cited
2021Tools to support the automation of systematic reviews: a scoping review189 cited
2013Empirical Evidence of the Importance of Comparative Studies of Diagnostic Test Accuracy187 cited
2015Faster title and abstract screening? Evaluating Abstrackr, a semi-automated online screening program for systematic reviewers184 cited
2019A question of trust: can we build an evidence base to gain trust in systematic review automation technologies?

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