📚
Literature Screening
Conduct title, abstract, and full-text screening using a Rayyan-inspired workflow with conflict resolution and multi-reviewer collaboration.
← Lab ToolsAI-Powered Evidence
§ Available Now
AI-Powered Evidence
Synthesis Platform
Conduct systematic reviews, meta-analyses, and omics evidence synthesis in one AI-assisted platform built for researchers, clinicians, and bioinformaticians.
Systematic ReviewsMeta-analysisOmics ResearchPRISMA Workflows
3
Review Stages
10+
Statistical Analyses
PRISMA
2020 Ready
Integrates with the sources and standards you already use
PubMedCrossrefOpenAlexPRISMA 2020RISBibTeXCSVJSON
§ Features
Everything you need for modern evidence synthesis
From import to publication-ready output in one platform - no stitching tools together.
📊
Meta-analysis Engine
Pool effect sizes and quantify heterogeneity in minutes, using fixed and random effects models with publication-ready forest and funnel plots.
🧬
Omics Data Integration
Synthesize evidence across populations and studies with GWAS variant aggregation, weighted gene-level RNA-seq summaries, and chromosome-level Manhattan plots.
🤖
AI-assisted Study Selection
Cut screening time by surfacing the most relevant studies first, with AI-powered relevance scoring against your research question.
📋
PRISMA Workflow
Stay reporting-compliant with zero manual bookkeeping, using automated PRISMA flow diagrams that track counts at every stage.
👥
Collaborative Reviews
Keep review teams in sync with role-based access, dual-reviewer screening, conflict detection, and a full audit trail.
§ See EvidenceFlow in Action
Built for how researchers actually work
Every screen is designed around real systematic review workflows.
Screening
Screening Interface
Rayyan-style abstract viewer with AI relevance scores, include/exclude controls, conflict detection, and stage-by-stage progress.
- ✓AI relevance scoring
- ✓Three-stage screening queue
- ✓Conflict detection & resolution
- ✓Multi-reviewer support
Analysis
Meta-analysis & Visualizations
Forest plots, funnel plots, PRISMA flow diagrams, and omics Manhattan plots - all generated from your extracted study data.
- ✓Forest & funnel plots
- ✓PRISMA flow diagram
- ✓Omics variant aggregation
- ✓One-click PDF export
§ Workflow
From raw literature to synthesis in five steps
A structured pipeline that mirrors established systematic review methodology.
📥1
Import
Upload PubMed XML, RIS, BibTeX, or CSV. Automatic duplicate detection removes redundant records.
🔍2
Screen
AI pre-scores relevance. Reviewers work through title, abstract, and full-text stages with conflict tracking.
📝3
Extract
Structured clinical and omics forms capture effect sizes, genes, variants, populations, and risk of bias.
🧪4
Analyze
Fixed and random effects pooling, heterogeneity statistics, and GWAS / RNA-seq omics synthesis.
📄5
Publish
Export publication-ready PDF reports, PRISMA diagrams, forest plots, and JSON data packages.
§ Who It’s For
Built for every stage of evidence work
Whether you’re running a single review or coordinating a department, EvidenceFlow fits the workflow.
👨⚕️
Clinical Researchers
Conduct PRISMA-compliant systematic reviews without switching between screening, extraction, and reporting tools.
🧬
Bioinformaticians
Integrate GWAS, RNA-seq, and genomic datasets into your evidence synthesis alongside clinical literature.
🎓
Medical Students
Complete dissertations and evidence syntheses faster with AI-assisted screening and structured data extraction.
🏛️
Universities
Run collaborative evidence reviews across departments with role-based access and a shared audit trail.
Open Science
Built on open science principles
EvidenceFlow is free and transparent - because good research infrastructure should be shared, not siloed.
🔬
Transparent
All statistical methods are documented and auditable. Reproducible analyses with full parameter history.
♻️
Reproducible
Export full data packages JSON, PDFs, and plots so every review step can be independently verified.
📦
Exportable
Your data is never locked in. Every project exports as CSV, JSON, and PDF, ready for reuse elsewhere.
🧩
Open Standards
Import from PubMed, RIS, and BibTeX, and generate PRISMA 2020-compliant flow diagrams out of the box.
§ FAQ
Frequently asked questions
What is EvidenceFlow?+
EvidenceFlow is a free, AI-powered systematic review platform that automates literature screening, data extraction, PRISMA reporting, and meta-analysis for researchers and clinicians.
Is EvidenceFlow free to use?+
Yes. EvidenceFlow is completely free. Create an account and start your first systematic review immediately with no subscription required.
How does AI screening work in EvidenceFlow?+
EvidenceFlow uses local large language models (via Ollama) to screen studies against your PICO criteria and inclusion/exclusion criteria. It provides a decision (include/exclude/maybe), confidence score, and a one-sentence reason for each study.
What is the difference between EvidenceFlow and Rayyan or RevMan?+
EvidenceFlow combines the collaborative screening features of Rayyan with the meta-analysis capabilities of RevMan, and adds AI automation for screening and extraction, all in a single free platform.
Can EvidenceFlow generate a PRISMA flow diagram?+
Yes. EvidenceFlow automatically generates a PRISMA 2020 flow diagram based on your screening decisions and study counts, which can be exported as part of your PDF or Word report.
What file formats can I import into EvidenceFlow?+
EvidenceFlow supports RIS, BibTeX, CSV, and direct PubMed search import. You can also upload full-text PDFs for full-text screening.
Is EvidenceFlow open source?+
No, EvidenceFlow is not open source. It is completely free to use, and every project you create exports as CSV, JSON, or PDF, so your data is never locked in.
Can I collaborate with multiple reviewers?+
Yes. EvidenceFlow supports multi-reviewer projects with role-based access, dual-reviewer screening, conflict detection, and an audit trail of every decision.
Which statistical models are supported?+
EvidenceFlow's meta-analysis engine supports fixed and random effects models with pooled effect sizes, I², Cochran's Q, and Tau² heterogeneity statistics, visualized as forest and funnel plots.
Does EvidenceFlow support PRISMA 2020?+
Yes. PRISMA 2020 flow diagrams are generated automatically from your screening decisions and can be exported as part of your PDF or Word report.
Can I export my project?+
Yes. You can export your PRISMA flow diagram, PDF report, Word document, or full CSV/JSON data package at any point in your project.
Is my research data private?+
Yes. Your projects and study data are private to your account and visible only to reviewers you explicitly invite to a project.
Can I use my own AI models?+
EvidenceFlow's AI screening runs on local large language models via Ollama, so no external API keys are required and your data never leaves the screening environment.
Who is EvidenceFlow designed for?+
EvidenceFlow is designed for clinical researchers, bioinformaticians, medical students, and universities running systematic reviews, meta-analyses, or omics evidence synthesis.
Does EvidenceFlow support omics research?+
Yes. EvidenceFlow integrates GWAS variant aggregation, RNA-seq gene-level summaries, and Manhattan plot visualization alongside your systematic review workflow.
Get Started
From literature search to publication in one platform
Create an account, import your references, and start AI-assisted screening with no configuration needed. EvidenceFlow is completely free.