Previous editions
Here you can find the course programs of the first edition, second edition, third edition, fourth edition and fifth edition of the course. A detailed program of the 6th edition starting on January 17th 2025 can be found below.
What you need to know for the sixth edition of the course:
- The next edition of the course will start 17-01-2025.
- There are 2 tracks to choose from:
- A full track that offers participants the ability to create their own AI solutions. In this track you will follow, besides the lectures, also practical sessions where you can pick up the skills needed to implement your own AI applications.
- A light track that does not involve programming and offers participants a good understanding of what AI is and how it can benefit your work.
Full track program
- The in depth course takes place on 10 Fridays. The full program will follow soon.
- The course days consist of lectures in the morning and afternoon Python practicals with cases focused on Radboudumc practice.
- The program will be held at Radboudumc in Nijmegen.
- The course includes project days in the Radboudumc where you will work in a team on a Radboudumc project.
- We expect participants to spend on average 2-3 hours per week on homework and self study.
- The course will end with a graduation ceremony where teams will present their project results and a certificate will be awarded.
| Date | Time | Topic | Content | Location | Lecturer(s) |
|---|---|---|---|---|---|
| 17-01-2025 | 9-17h | Introduction + Machine Learning 1 | How is AI changing healthcare? How to run an AI project? Learn about the basic principles of Machine Learning | George Padberg, route 924 | Peter Koopmans, Silvan Quax |
| 24-01-2025 | 9-17h | Machine Learning 2 | Learn the most important machine Learning models and how to measure their performance |
George Padberg, route 924 | Silvan Quax, Ward Hendrix |
| 31-01-2025 | 9-17h | Deep Learning 1 | Understand how convolutional neural networks can be used for medical image analysis and learn about best practices for developing AI |
George Padberg, route 924 | Nadieh Khalili, Colin Jacobs, Henkjan Huisman |
| 07-02-2025 | 9-17h | Deep Learning 2 | Learn how to combine text, images and biomedical data for better deep learning models and learn about Transformer models, ChatGPT |
George Padberg, route 924 | Nadieh Khalili, Sarah de Boer, Michele Stegeman, Clément Grisi |
| 14-02-2025 | 9-17h | Data Management /Ethics & Privacy | The FAIR principles of data management are covered and ethical and privacy concerns regarding the use of AI are discussed and learn about the regulations regarding the deployment of AI in practice |
George Padberg, route 924 | Andrea Freiling, Marianne Boenink, Leon Haszing, Erik Gelderblom |
| 21-02-2025 | 9-17h | Project Day 1 | Defining project goals and understanding your data | George Padberg, route 924 | ----- |
| 07-03-2025 | 9-17h | Project Day 2 | Data preparation and model development | George Padberg, route 924 | ----- |
| 14-03-2025 | 9-17h | Project Day 3 | Model optimization | George Padberg, route 924 | ----- |
| 21-03-2023 | 9-17h | Project Day 4 | Evaluating model performance and result visualisation | George Padberg, route 924 | |
| 28-03-2024 | 9-13h | Final Presentations | Project groups will present their final results | George Padberg, route 924 | ----- |
Light track program
- The short track takes place on 5 (half) Fridays, 5 optional project days.
- The course consists of lectures with a focus on Radboudumc practice.
- The program will mostly be held at Radboudumc in Nijmegen.
- For the projects you can bring in your own clinical case and you will be involved by providing guidance and feedback to a team.
- We expect participants to spend on average 2-3 hours per week on homework and self study.
- The course will end with a graduation ceremony where project teams will present their project results and a certificate will be awarded.
An overview of the short track schedule of the current edition can be seen below.
| Date | Time | Topic | Content | Location | Lecturer(s) |
|---|---|---|---|---|---|
| 17-01-2025 | 9-13h | Introduction + Machine Learning 1 | How is AI changing healthcare? How to run an AI project? Learn about the basic principles of Machine Learning | George Padberg, route 924 | Peter Koopmans, Silvan Quax |
| 24-01-2025 | 9-13h | Machine Learning 2 | Learn the most important machine Learning models and how to measure their performance |
George Padberg, route 924 | Silvan Quax, Ward Hendrix |
| 31-01-2025 | 9-13h | Deep Learning 1 | Understand how convolutional neural networks can be used for medical image analysis and learn about best practices for developing AI |
George Padberg, route 924 | Nadieh Khalili, Colin Jacobs, Henkjan Huisman |
| 07-02-2025 | 9-13h | Deep Learning 2 | Learn how to combine text, images and biomedical data for better deep learning models and learn about Transformer models, ChatGPT |
George Padberg, route 924 | Nadieh Khalili, Sarah de Boer, Michele Stegeman, Clément Grisi |
| 14-02-2025 | 9-17h | Data Management /Ethics & Privacy | The FAIR principles of data management are covered and ethical and privacy concerns regarding the use of AI are discussed and learn about the regulations regarding the deployment of AI in practice |
George Padberg, route 924 | Andrea Freiling, Marianne Boenink, Leon Haszing, Erik Gelderblom |
| 21-02-2025 | 9-17h | Project Day 1 (Optional) | Defining project goals and understanding your data | George Padberg, route 924 | ----- |
| 07-03-2025 | 9-17h | Project Day 2 (Optional) | Data preparation and model development | George Padberg, route 924 | ----- |
| 14-03-2025 | 9-17h | Project Day 3 (Optional) | Model optimization | George Padberg, route 924 | ----- |
| 21-03-2023 | 9-17h | Project Day 4 (Optional) | Evaluating model performance and result visualisation | George Padberg, route 924 | ----- |
| 28-03-2024 | 9-13h | Final Presentations | Project groups will present their final results | George Padberg, route 924 | ----- |