Leveraging artificial intelligence to enhance systematic reviews in health research: advanced tools and challenges
- PMID: 39456077
- PMCID: PMC11504244
- DOI: 10.1186/s13643-024-02682-2
Leveraging artificial intelligence to enhance systematic reviews in health research: advanced tools and challenges
Abstract
Artificial Intelligence (AI) is transforming systematic reviews (SRs) in health research by automating processes such as study screening, data extraction, and quality assessment. This perspective highlights recent advancements in AI tools that enhance efficiency and accuracy in SRs. It discusses the benefits, challenges, and future directions of AI integration, emphasising the need for human oversight to ensure the reliability of AI outputs in evidence synthesis and decision-making in healthcare.
Keywords: Artificial intelligence; Health research; Systematic review.
© 2024. The Author(s).
Conflict of interest statement
The authors declare that they have no competing interests.
References
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- Scells H, Zuccon G, Koopman B, Clark J, et al. A computational approach for objectively derived systematic review search strategies. In: Jose JM, et al., editors. Advances in Information Retrieval. Cham: Springer International Publishing; 2020. 10.1007/978-3-030-45439-5_26.
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- Scells H, Zuccon G. searchrefiner: a query visualisation and understanding tool for systematic reviews. In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management. New York: Association for Computing Machinery; 2018. p. 1939–42. 10.1145/3269206.3269215.
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