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Starts 6 June 2025 17:55

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Lifesaving AI and JavaScript

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

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