
Covidence
The world's #1 systematic review tool.
AI-assisted platform for systematic reviews, meta-analysis, and living evidence.
AI-assisted platform for systematic reviews, meta-analysis, and living evidence.
Nested Knowledge is a robust, AI-powered platform designed to streamline the entire lifecycle of systematic literature reviews, meta-analyses, and living reviews. Built primarily for researchers, academic institutions, life sciences companies, and medical device manufacturers, the platform automates and simplifies the cumbersome processes of literature search, screening, data extraction, and evidence visualization. By leveraging advanced machine learning models, Nested Knowledge significantly reduces the manual effort required to sift through thousands of academic papers, offering tools like AI-assisted screening prioritization and smart data extraction. Features include automated dual-screening, conflict resolution workflows, risk of bias assessments, and interactive, web-based visual outputs (such as synthesis sunbursts and evidence maps) that can continuously update as new literature is published. Designed with collaboration in mind, it allows global teams to work concurrently on protocols, ensuring high methodological quality, transparency, and reproducibility. Its structured data exports integrate easily with standard statistical software, making it an indispensable tool for producing rigorous evidence syntheses.
AI-assisted platform for systematic reviews, meta-analysis, and living evidence.
Quick visual proof for Nested Knowledge. Helps non-technical users understand the interface faster.
Nested Knowledge is a robust, AI-powered platform designed to streamline the entire lifecycle of systematic literature reviews, meta-analyses, and living reviews.
Explore all tools that specialize in ai-assisted screening prioritization. This domain focus ensures Nested Knowledge delivers optimized results for this specific requirement.
Explore all tools that specialize in automated dual-screening. This domain focus ensures Nested Knowledge delivers optimized results for this specific requirement.
Explore all tools that specialize in synthesis sunbursts. This domain focus ensures Nested Knowledge delivers optimized results for this specific requirement.
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Automatically runs updated search queries against literature databases and queues new citations for screening to keep reviews up to date.
Machine learning algorithms learn from user inclusion/exclusion decisions and dynamically re-order the screening queue to present the most relevant studies first.
Generates web-based, interactive sunburst diagrams and evidence networks directly from the extracted structured data.
Create an account and set up a new systematic review project workspace.
Formulate search strings or import existing citations via RIS/CSV or direct database integrations (e.g., PubMed).
Define inclusion/exclusion criteria and set up keyword highlighting rules.
Invite team members, assign roles (screener, extractor, adjudicator), and configure dual-screening settings.
Utilize the built-in AI models to prioritize relevant abstracts.
Build a custom hierarchy for data extraction and begin capturing study characteristics and outcomes.
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Verified feedback from other users.
“Users praise the platform for modernizing systematic reviews and providing excellent visualization tools, though some note a learning curve for advanced extraction features.”
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