Systematic Review Management Platforms Powered by Artificial Intelligence: A Narrative Review
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Supplementary Files

Supplementary Material

Keywords

systematic review
evidence synthesis
Rayyan
Covidence
artificial intelligence
data extraction
screening

How to Cite

Musleh, A., & Al-khatib, D. (2026). Systematic Review Management Platforms Powered by Artificial Intelligence: A Narrative Review. High Yield Medical Reviews, 4(1). https://doi.org/10.59707/hymrOLST8553

Abstract

Systematic reviews are essential for evidence-based clinical decision-making and identification of research gaps. However, conducting a systematic review is often time-consuming and requires careful coordination. In response to these challenges, several digital platforms have been developed to improve efficiency, transparency, and collaboration throughout the review workflow. This narrative review provides an overview and comparison of three systematic-review management platforms: Rayyan, Covidence, and AIPRA. Rayyan is a widely used platform that supports reference import, deduplication, blinded screening, conflict resolution, full-text management, data extraction, and AI-assisted prioritization. Covidence offers a highly structured workflow for screening, full-text review, extraction, quality assessment, and PRISMA documentation, with strong support for team-based systematic reviews. AIPRA is an AI-augmented platform designed to support a broader review process, including question formulation, search organization, screening, extraction, evidence synthesis planning, and manuscript drafting. Overall, systematic-review platforms should be viewed as supportive tools that enhance workflow efficiency, documentation, and consistency while maintaining the central role of human oversight in evidence synthesis.

https://doi.org/10.59707/hymrOLST8553
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References

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Copyright (c) 2026 Ayman Musleh, Dana Al-khatib