Writing a Systematic Review: The AI way
Abstract
Systematic reviews are essential for evidence-based practice but are often labor-intensive and time-consuming. With the rise of artificial intelligence (AI), researchers now have access to tools that can streamline and support each phase of the review process. This guide explores how AI can be effectively integrated into writing a systematic review, from literature search and study selection to data extraction and manuscript drafting. Tools such as Rayyan, ASReview, Elicit, and ChatGPT are examined for their roles in enhancing efficiency, reducing bias, and maintaining methodological rigor. While AI cannot replace human judgment, it offers valuable support in accelerating workflows and improving the overall quality of systematic reviews. This practical approach provides researchers with insights into adopting AI responsibly and effectively in the evolving landscape of academic publishing.
How to cite this article:
Goyal Y. Writing a Systematic Review:The AI way. IAP J. Med. Educ. Res. 2025;2(1):27-31.
References
Marshall C, Kuiper J, Wallace B. Automating risk of bias assessment for clinical trials. BMC Med Res Methodol. 2021;22(1):1-12. doi:10.1186/s12874-022-01649-y.
Galter Health Sciences Library & Learning Center. AI resources for systematic reviews: Outlining the benefits to the research process. Northwestern University Feinberg School of Medicine. Available from: https://galter.northwestern.edu/news/ai-resources-for-systematic-reviews.
Discover, Create, and Publish your research paper [Internet]. Scispace.com. Available from: https://scispace.com
Elicit: The AI research assistant [Internet]. Elicit.com. Available from: https://elicit.com/
PROSPERO [Internet]. York.ac.uk. [cited 2025 Mar 3]. Available from: https://www.crd.york.ac.uk/prospero/display_record.php
