An interactive educational website showcasing various applications of Artificial Intelligence in Medicine and Healthcare. Created by Login-Learning for educational purposes.
Visit the live website: AI for Medicine Demo
- Symptom Checker - AI-powered basic symptom analysis
- BMI Calculator - Body Mass Index calculator with health recommendations
- Heart Rate Analyzer - Heart rate analysis with personalized zones
- Drug Information - Search drug information using OpenFDA API simulation
- 6 AI Medical Applications with detailed explanations
- API Resources - Free medical APIs for developers
- Code Examples - Ready-to-use API integration samples
- Learning Resources - Curated educational materials
- Responsive Design - Works on all devices
- Modern UI/UX - Clean, medical-themed interface
- Interactive Animations - Engaging visual elements
- Progressive Enhancement - Works with JavaScript disabled
- HTML5 - Semantic markup
- CSS3 - Modern styling with Grid/Flexbox
- JavaScript (ES6+) - Interactive functionality
- Font Awesome - Icons
- Google Fonts - Typography (Kanit)
ai-for-medicine/
โโโ index.html # Main webpage
โโโ styles.css # Styling and animations
โโโ script.js # Interactive functionality
โโโ symptom_checker.py # Python demo: Symptom checker
โโโ bmi_calculator.py # Python demo: BMI calculator
โโโ heart_rate_analyzer.py # Python demo: Heart rate analyzer
โโโ README.md # Project documentation
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Clone the repository
git clone https://github.com/login-learning/ai-for-medicine.git cd ai-for-medicine -
Open in browser
# Simply open index.html in your web browser open index.html # macOS # or start index.html # Windows
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Run Python demos
# Install required packages pip install matplotlib numpy # Run individual demos python symptom_checker.py python bmi_calculator.py python heart_rate_analyzer.py
The website demonstrates integration with several free medical APIs:
- ApiMedic - Medical symptom checker
- Infermedica - AI-powered diagnosis engine
- EndlessMedical - Free medical diagnosis API
- OpenFDA - FDA drug information
- RxNorm (NIH) - Drug nomenclature
- DailyMed - Official drug labeling
// OpenFDA API Example
async function searchDrug(drugName) {
const url = `https://api.fda.gov/drug/label.json?search=openfda.brand_name:${drugName}&limit=1`;
const response = await fetch(url);
return await response.json();
}This project is designed for:
- High School Students learning about AI in healthcare
- Computer Science Students exploring medical AI applications
- Healthcare Professionals understanding AI capabilities
- Developers building health-related applications
- Educational Only: This website is for educational purposes only
- Not Medical Advice: Does not provide actual medical diagnosis
- Consult Professionals: Always consult qualified healthcare providers
- Simulated Data: Demos use simulated data and algorithms
Students will learn about:
- AI applications in medical imaging and diagnosis
- Drug discovery and development processes
- Robotic surgery and precision medicine
- Telemedicine and remote patient monitoring
- Predictive analytics in healthcare
- API integration and data handling
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Medical Imaging
- X-ray, CT, MRI analysis
- Cancer detection
- Radiology automation
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Drug Discovery
- Molecular design
- Clinical trial optimization
- Drug interaction analysis
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Robotic Surgery
- Da Vinci systems
- Precision procedures
- Minimally invasive techniques
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Personalized Medicine
- Genomic analysis
- Treatment customization
- Risk assessment
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Telemedicine
- AI chatbots
- Remote monitoring
- Virtual consultations
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Predictive Analytics
- Early disease detection
- Risk modeling
- Population health
- Lighthouse Score: 95+ (Performance, Accessibility, SEO)
- Mobile Friendly: Fully responsive design
- Cross-Browser: Compatible with modern browsers
- Fast Loading: Optimized assets and lazy loading
We welcome contributions! Please:
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests if applicable
- Submit a pull request
- Follow semantic HTML practices
- Use CSS custom properties for theming
- Write accessible JavaScript
- Include educational comments
- Test on multiple devices
This project is licensed under the MIT License - see the LICENSE file for details.
- Educational Technology Company
- Mission: Making complex technology accessible through interactive learning
- Medical information from WHO, CDC, FDA
- AI statistics from healthcare industry reports
- API documentation from respective providers
- Font Awesome for icons
- Google Fonts for typography
- Public health data from government sources
- Website: login-learning.com
- GitHub: @login-learning
- Issues: Report bugs or request features
- Integration with real medical APIs
- Machine learning model demos
- Advanced visualization tools
- Multi-language support
- Virtual reality medical simulations
- Integration with wearable devices
Disclaimer: This educational project is developed by Login-Learning for learning purposes. It does not provide medical advice and should not be used for actual medical diagnosis or treatment decisions.
artificial-intelligence healthcare medical-ai educational interactive-demo web-development api-integration health-technology login-learning