Literature Mining Assistant
Streamline your systematic reviews and evidence synthesis with AI-powered efficiency and precision.
Video Demo
Watch our comprehensive video demonstration to see how TrialMind streamlines systematic literature reviews from start to finish.
Streamline Your Systematic Literature Review
Visualize the four key stages of your research process with Keiji AI, from initial setup to final data extraction.
Step 1: Project Setup & PICO Definition
Create your project, define research topic, and specify PICO elements (Population, Intervention, Comparator, Outcome) in the integrated setup interface.
Step 2: Search Configuration & Results
Configure condition and treatment terms, set search filters (year range, clinical trials only), and review the resulting publications from your database search.
Step 3: AI-Powered Screening
Define screening criteria and let AI automatically evaluate each publication against your inclusion/exclusion criteria with color-coded scoring and filtering options.
Step 4: Systematic Data Extraction
Extract key study information using AI-suggested terms and customizable fields. Systematically capture sample sizes, interventions, endpoints, study phases, and findings in a structured format.
Key Features
- Comprehensive support for biomedical literature review, meta-analysis, and health technology assessment
- Efficient extraction and summarization of relevant scientific research
- PRISMA-compliant workflows and structured data exports
- Natural language querying of trial data and publications
- Automated identification of relevant papers and data points