For environmental health researchers and spatial epidemiologists, constructing precise search queries for systematic reviews in PubMed can be time-consuming. This tool automates the process by translating natural language research topics into standardized Medical Subject Headings (MeSH) queries using Large Language Models (Llama 3 via Groq API).
This image illustrates how the tool translates a plain English research question into a complex, database-ready MeSH string.
(Note: The output query is immediately ready for use on NCBI PubMed.)
- AI-Driven Translation: Utilizes the
llama-3.3-70b-versatilemodel to understand biomedical context. - MeSH Standardization: Ensures output adheres to National Library of Medicine (NLM) tagging standards.
- Research Efficiency: Reduces the time spent on search strategy design.
- Clean Interface: Built with Bootstrap 5 for a modern user experience.
- Backend: PHP (cURL API handling)
- AI Inference: Groq Cloud API
- Frontend: HTML5, Bootstrap 5, JavaScript (AJAX)
- Clone this repository to your local PHP server (e.g., XAMPP).
- Get a free API Key from Groq Cloud.
- Open
config.phpand replace'YOUR_GROQ_API_KEY_HERE'with your actual key. - Open
index.phpin your browser.
Developed for research automation purposes.