AI-Assisted Systematic Literature Reviews
Search, screen, analyze, and synthesize research papers systematically with AI support.
Systematic literature reviews follow a rigorous, reproducible methodology. They require comprehensive database searches, systematic screening of results, data extraction from selected papers, and careful synthesis of findings.
Isaac accelerates each step without compromising rigor. Use the integrated literature search to build your initial corpus. Upload selected papers and use AI chat to extract structured data points. Let AI help you identify themes and synthesize findings across studies.
The systematic approach demands that you process many papers in a structured way. Isaac keeps all your sources, notes, and extracted data in one workspace, making it easier to maintain consistency and completeness throughout the review process.
Comprehensive literature search
Search academic databases directly from Isaac. Build your initial set of papers without switching tools.
AI-assisted data extraction
Upload selected papers and use AI to extract key data points, methods, and findings consistently across studies.
Cross-paper synthesis
Ask AI to compare findings across multiple papers. Identify patterns, contradictions, and gaps.
Organized workspace
Keep all stages of your review in one place: search results, selected papers, extracted data, and your draft.
Frequently Asked Questions
- Can AI replace manual screening in a systematic review?
- AI can assist with screening by helping you quickly assess relevance, but most systematic review protocols still require human judgment for inclusion/exclusion decisions.
- Does Isaac support PRISMA guidelines?
- Isaac provides the tools to conduct a review following PRISMA guidelines. You manage the methodology while Isaac handles the technical tasks of searching, organizing, and analyzing papers.
Related use cases
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