Evidence Hunt
Evidence Hunt is an AI research tool that helps medical and scientific researchers find, analyze, and verify evidence from sources such as PubMed, guidelines, and institutional documents.
Evidence Hunt is an AI-powered medical and scientific evidence search platform designed to help researchers and healthcare professionals find and analyze scientific evidence. It focuses on clinical intelligence and life sciences research. The platform uses a provenance-first approach, meaning its answers are grounded in traceable scientific sources such as PubMed abstracts, national guidelines, and internal institutional documents. Users can review the sources behind individual claims instead of relying only on an AI-generated summary.
How Evidence Hunt Works
Evidence Hunt combines natural language search, AI analysis, and source verification to help users find relevant scientific evidence.
- Select Sources and Filters: Choose sources such as PubMed, clinical registries, or uploaded institutional guidelines. You can also apply filters based on study type.
- Ask a Research Question: Enter a clinical or scientific question using natural language instead of building complex Boolean search strings. Evidence Hunt identifies relevant keywords and PICO elements.
- Rank and Summarize Evidence: The platform searches the selected sources, ranks relevant evidence, and uses AI models to create a readable summary of the findings.
- Verify the Sources: The answer is shown alongside interactive citations. Users can select a claim to go directly to the relevant sentence or page in the original source.
How We Rated Evidence Hunt
We evaluated Evidence Hunt based on its scientific search capabilities, source traceability, AI-powered evidence synthesis, research workflow, and support for systematic literature reviews. We also considered its ability to combine external scientific literature with internal documents. Because AI can occasionally misinterpret complex medical evidence, important findings should always be checked against the original sources.
Pros
- Links claims directly to supporting scientific sources.
- Can reduce the time spent searching and organizing research.
- Combines external literature with internal documents.
- Uses European hosting and zero-retention AI endpoints.
- Can help provide consistent, evidence-based information across teams.
Cons
- The free version has limited search and advanced capabilities.
- AI-generated summaries still require human verification.
- Full database access and advanced tools require a paid plan.
- AI searches can sometimes return unrelated medical concepts.
- Teams familiar with traditional database searches may need time to adapt.
Evidence Hunt is best for:
- Medical researchers
- Clinical researchers
- Healthcare professionals
- Life sciences teams
- Health sciences librarians
- Organizations working with clinical guidelines
- Researchers conducting systematic literature reviews
Evidence Hunt is useful for researchers who need evidence-backed answers rather than general AI-generated information. Its provenance-first approach makes it possible to trace claims back to the underlying scientific literature. It also brings external research and internal documents into the same workflow. This can be useful for healthcare organizations that need to search scientific evidence alongside their own protocols, guidelines, or regulatory documents.
Evidence Hunt's Key Features
Natural language evidence search
PICO and Boolean search support
AI-powered evidence ranking and summaries
Interactive chat with research literature
Internal document integration
Systematic literature review tools
Automated abstract screening
Structured evidence tables
Living review monitoring
Custom answer templates
Pricing
Basic Plan
Free
Pro Plan
$19 /mo
Disclaimer: for the latest and most accurate pricing, please visit the official Evidence Hunt website.
Frequently Asked Questions
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Rhea Kapoor
Excellent tool! Saved me hours of work. Highly recommended.
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