Medical Literature Intelligence
AI-powered research assistant that synthesizes findings from thousands of medical publications.
The Challenge
Research teams were spending weeks manually reviewing hundreds of papers for each systematic review. The volume of published medical literature made comprehensive reviews nearly impossible.
Critical findings were being missed simply because no human could read fast enough. Teams were forced to narrow their scope, potentially missing relevant evidence.
The manual process introduced inconsistency in how papers were evaluated and summarized, affecting the quality of research conclusions.
“We knew important research was out there, but we simply could not read fast enough to find it all.”
The Solution
We developed an intelligent literature analysis system that processes thousands of papers, extracts key findings, and synthesizes insights relevant to specific research questions.
The system identifies patterns across studies, highlights contradictions, and surfaces the most relevant evidence based on methodology quality and relevance scores.
Researchers can now ask natural language questions and receive comprehensive answers backed by cited sources.
Key Features
- Automated paper ingestion from PubMed and journals
- Key finding extraction with methodology assessment
- Cross-study pattern and contradiction detection
- Natural language query interface
- Automatic citation and source tracking
Implementation
Technical Approach
- Claude API for deep semantic analysis
- PubMed API integration for paper retrieval
- Vector database for semantic search
- FastAPI backend with async processing
- React dashboard for exploration
Change Management
- Research team workshops on effective prompting
- Validation studies comparing AI vs manual review
- Iterative refinement based on researcher feedback
- Integration into existing research workflows
Results & Impact
- Systematic reviews completed in days instead of weeks
- Research scope expanded without additional headcount
- Higher confidence in comprehensive evidence coverage
- Researchers focus on analysis rather than data gathering