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Starts 6 June 2025 17:55
Ends 6 June 2025
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Overview
Exploring how JavaScript and AI combine to create life-saving medical software, addressing challenges in development, safety, privacy, and explainability in healthcare innovation.
Syllabus
- Introduction to Lifesaving AI in Healthcare
- Basics of JavaScript for AI Applications
- Machine Learning Fundamentals
- Developing AI Models with JavaScript
- Integrating AI with Medical Software
- Challenges in AI Development for Healthcare
- Explainability and Transparency in AI
- Safety and Compliance in AI-Driven Healthcare
- Project: Developing a Lifesaving Medical AI Application
- Conclusion and Future of AI in Healthcare
Overview of AI applications in medicine
Importance of safety, privacy, and explainability
Role of JavaScript in AI-driven medical software
JavaScript syntax and fundamentals
Utilizing JavaScript libraries for AI
Setting up a development environment
Introduction to machine learning concepts
Supervised vs. unsupervised learning
Tools and libraries for JavaScript-based machine learning (e.g., TensorFlow.js)
Building simple AI models using JavaScript
Training and evaluating models
Practical exercises with TensorFlow.js and Brain.js
Real-world use cases of AI in healthcare
Developing a basic medical diagnostic application
Incorporating AI model predictions into applications
Addressing data privacy and security
Ensuring model accuracy and reliability
Discussing ethical considerations in AI
Techniques for making AI models interpretable
Importance of explainability in medical applications
Visualization tools and methods for transparency
Regulatory standards and guidelines (e.g., HIPAA, GDPR)
Ensuring compliance in AI applications
Case studies on safety and compliance issues
Defining project scope and objectives
Designing, building, and testing the application
Presenting the final project with a focus on innovation and impact
Recap of key learnings and skills
Future trends and technologies in AI and JavaScript
Opportunities for further research and development in the field
Subjects
Conference Talks