Research Article

How to Run a Systematic Literature Review with AI Agents

A practical guide to using multi-agent systems for systematic reviews. Reduce the time from 12-18 months to weeks while maintaining PRISMA compliance.

Systematic reviews take 12-18 months on average. Multi-agent systems can compress the mechanical parts to weeks by using specialized agents for planning, searching, analyzing, and critiquing—while you keep judgment on what matters.

TL;DR: Systematic reviews take 12-18 months on average. Multi-agent systems can compress the mechanical parts to weeks by using specialized agents for planning, searching, analyzing, and critiquing—while you keep judgment on what matters. PapersFlow provides this workflow.

Systematic reviews are slow. According to Cochrane, the average takes 18 months. A study in the Journal of Clinical Epidemiology found the median is 11.5 months—and researchers underestimate this by 69%.

That's a year of work. For most teams, this is unsustainable. If you're a PhD student figuring out which tools to use at each stage of your research, see The PhD Student's Guide to AI Research Tools.

Automation is changing this—but not in the way most people think.

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Frequently Asked Questions

How long does a systematic review take?
According to Cochrane, the average systematic review takes 12-18 months. A 2020 study found the median is 11.5 months from start to publication. Tools can compress the mechanical parts but not the thinking.
Can AI replace human reviewers?
No. Tools can screen papers, extract data, and draft synthesis—but final decisions, quality assessment, and interpretation require human judgment. Use them for acceleration, not replacement.
What is PRISMA?
PRISMA is a 27-item checklist and four-phase flow diagram for reporting systematic reviews. The phases are: Identification, Screening, Eligibility, and Inclusion. AI-assisted reviews still need to produce PRISMA-compliant documentation.
What tools help with systematic reviews?
Key tools include Rayyan (screening), ASReview (AI-assisted screening), and PapersFlow (multi-agent deep research). Studies show AI can reduce screening workload by up to 95%.

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