Mark your calendars for 10-12 February 2025 (exact date to be confirmed) and join us for an immersive 3-day training in Leuven! The NoBoCap project is excited to offer a specialized short course designed to provide you with the tools and knowledge needed to master this aspect of medical technology.

Why This Course Matters:

In a fast-evolving world of AI-driven healthcare, the ability to distinguish a well-evaluated model from a poorly assessed one is important. This hands-on course will not only teach you the fundamentals but will also explore the latest techniques that ensure reliable and fair evaluations of medical AI models. Learn how to navigate common challenges and avoid pitfalls that could compromise your assessments.

Here’s a glimpse into what awaits you in our upcoming modules:

Module 1 – Introduction to the Course and the Regulatory Background

Module 2 – Introduction to AI

Module 3 – AI Evaluation and Model Performance Metrics

Module 4 – Introduction to Statistics

Module 5 – Introduction to Advanced Model Evaluation Topics

What You Will Learn:

• Smart Metric Selection: Discover how to choose the right performance metrics and avoid their misuse.
• Confidence Intervals & Sample Sizes: Master statistical essentials for robust model evaluations.
• AI Regulation in Europe: Understand the regulatory framework surrounding AI-based medical devices.
• Advanced Topics: Dive deep into model bias, fairness, explainability, monitoring, and robustness evaluation.

Who Should Attend:

This course is perfect for notified body assessors, health technology assessors, and those from medical AI companies. No prior knowledge is required – just an eagerness to improve your expertise in medical AI performance evaluation.

Event Details:

• Dates: 10-12 February 2025 (Exact date to be confirmed)
• Location: Leuven, Belgium
• Duration: 3 full days of training

Ready to Get Started?

Click HERE to Pre-Register for the course!

We kindly ask you to complete the pre-registration form with attention to detail and to read the disclaimer to ensure seamless enrollment in our upcoming short course!