README.md

metadata

title: Medical AI Wiki
emoji: 🔬
colorFrom: blue
colorTo: purple
sdk: docker
app_port: 3001

Medical AI Wiki

A web application that helps users explore AI algorithms used in medical research papers from PubMed.

Features

• Dashboard: View statistics and trends of AI algorithms used in medical papers
• Algorithm Search: Search for specific medical problems and see which algorithms are most commonly used
• Interactive Charts: Visual representation of algorithm usage and distribution
• PubMed Integration: Direct links to relevant papers on PubMed
• Editable Algorithm Database: JSON-based configuration for easy algorithm management

Tech Stack

• Frontend: React + TypeScript + Vite + Tailwind CSS
• Backend: Node.js + Express
• Charts: Recharts
• API: PubMed E-utilities
• Icons: Lucide React

Installation

1. Install dependencies for all parts:

npm run install:all

2. Start the development server:

npm run dev

This will start both the backend (port 3001) and frontend (port 3000) concurrently.

Usage

1. Dashboard: Visit the homepage to see overall statistics of AI algorithms in medical research
2. Search: Use the search page to find algorithms used for specific medical problems
3. Algorithm Management: Edit /data/algorithms.json to add, remove, or modify algorithms and their synonyms

Algorithm Configuration

The algorithms are configured in /data/algorithms.json. Each algorithm has:

• name: Display name
• category: Either "classical_ml" or "deep_learning"
• description: Brief description of the algorithm
• synonyms: Array of terms used to search PubMed (includes variations, abbreviations, etc.)

API Endpoints

• GET /api/algorithms - Get all algorithms
• PUT /api/algorithms - Update algorithms configuration
• GET /api/search/dashboard-stats - Get dashboard statistics
• POST /api/search/problem - Search algorithms for a specific problem
• GET /api/search/pubmed-link - Generate PubMed search URL
• GET /api/pubmed/search - Search PubMed papers
• GET /api/pubmed/paper/:pmid - Get specific paper details

Development

• Backend runs on port 3001
• Frontend runs on port 3000 with proxy to backend
• Hot reload enabled for both frontend and backend