Lifesaving AI and JavaScript

Overview

Join us as we explore the groundbreaking integration of JavaScript with AI to engineer life-saving medical software. This event focuses on tackling the intricate challenges faced in the realms of development, ensuring safety protocols, maintaining privacy, and fostering explainability within healthcare innovations.

Witness how these technologies are revolutionizing medical practices and improving patient outcomes at the intersection of technology and healthcare.

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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Subjects

Conference Talks