Comparative landscape of artificial intelligence-assisted systematic literature reviews

A Jóźwiak; László Balkányi; Judit Hagymásy

doi:10.1080/14737167.2026.2695957

June 25, 2026Expert Review of Pharmacoeconomics & Outcomes Research

Comparative landscape of artificial intelligence-assisted systematic literature reviews

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Key Points

The aim is to analyze how artificial intelligence can improve the efficiency of systematic literature reviews in biomedicine.
Conducted a comparative analysis of artificial intelligence-assisted techniques versus traditional methods.
Examined the efficiency and accuracy of literature reviews over a specified period.
Utilized data from over 40 million biomedical literature citations in PubMed.
AI-assisted reviews reduced literature search time by 30% (AI: 5 hours vs. traditional: 7 hours), p<0.01.
Quality of synthesized evidence improved with AI assistance, showing 25% more relevant citations included in reviews.
User satisfaction with AI tools rated 4.5 out of 5 for ease of use and efficiency.

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Abstract

PubMed comprises more than 40 million citations for biomedical literature, with over one million new records added to MEDLINE annually [1]. Systematic literature reviews (SLRs), the evidentiary ...

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Jóźwiak et al. (2026) studied this question.

synapsesocial.com/papers/6a3f69caaea7db3c1954074d https://doi.org/10.1080/14737167.2026.2695957

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Comparative landscape of artificial intelligence-assisted systematic literature reviews

Key Points

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Abstract

Discussion

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Comparative landscape of artificial intelligence-assisted systematic literature reviews

Key Points

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Abstract

Discussion

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