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The AI-assisted output was completed in 23% less time and sped up the process of analysing and synthesizing studies. However, the initial draft of the AI output was also judged to be less fluent and required more revisions than the ‘human’ version.
This study is effectively a case-study, and therefore the results are not generalisable. The ability of both humans and AI models to review literature will vary substantially, including by topic. However, the authors conclude that AI has the potential to enhance the process of conducting rapid evidence reviews, although at the time of conducting the research AI still produces errors that require manual verification. They posit that AI is improving and these issues might be reduced in future.
homepages/262/3347-2,
Oregon State University, School of Electrical Engineering and Computer Science, Corvallis, OR, USA, Mitchell Black, Home Page, https://github.com/blackmit
homepages/262/3347-1,
University of Michigan, Department of Aerospace Engineering, Ann Arbor, MI, USA, Mitchell Black and Mitchell K. Black Jr., Home Page, https://github.com/6lackmitchel