Abstract: Systematic reviews are the basis of evidence-based medical research, and high-quality systematic reviews represent the highest level of evidence for evaluating treatment effects. Traditional systematic reviews are mainly done manually, especially the reading and screening of massive literature requires a lot of energy and time for clinicians, and the efficiency is low, which cannot meet the needs of rapid decision-making. This article systematically sorts out existing automated tools for systematic review literature screening, and analyzes their respective performance, characteristics, and usage to understand the current development status of this field and provide reference for related research and applications.