Previous editions
Here you can find the course programs of the first edition, second edition, third edition and fourth edition of the course. A detailed program of the 5th edition starting on September 8th 2023 will follow soon.
What you need to know for the fifth edition of the course:
- The next edition of the course will start 08-09-2023.
- 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 16 Fridays: 8 Sep, 15 Sep, 22 Sep, 29 Sep, 6 Oct, 13 Oct, 27 Oct, 3 Nov, 10 Nov, 17 Nov, 24 Nov, 1 Dec, 8 Dec, 15 Dec, 22 Dec, 12 Jan. 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.
- There will be an online training environment with support documentation, discussion forum and blended learning.
- 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) |
|---|---|---|---|---|---|
| 08-09-2023 | 10-17h | Introduction + Machine Learning 1 | How is AI changing healthcare? How to run an AI project? Follow the CRIPS-DM model for data science projects and start with understanding your data |
George Padberg, route 924 | Joran Lokkerbol |
| 15-09-2023 | 13:30-17h | Machine Learning 1 | Machine learning in Python | George Padberg, route 924 | Joran Lokkerbol |
| 22-09-2023 | 9-17h | Machine Learning 2 | Learn the basic principles of machine Learning and how to measure the Performance of machine learning models |
George Padberg, route 924 | Joran Lokkerbol |
| 29-09-2023 | 9-17h | Machine Learning 3 | A start is made to cover the most important supervised machine learning algorithms and you will learn how to prepare your data |
George Padberg, route 924 | Joran Lokkerbol |
| 06-10-2023 | 9-17h | Deep Learning 1 | Understand how convolutional neural networks can be used for medical image analysis |
George Padberg, route 924 | Bram van Ginneken |
| 27-10-2023 | 9-17h | Deep Learning 2/3 | Learn how to combine text, images and biomedical data for better deep learning models and learn about Transformer models, ChatGPT |
George Padberg, route 924 | Bram van Ginneken |
| 03-11-2023 | 9-17h | Project Day 1 | Defining project goals and understanding your data | George Padberg, route 924 | ----- |
| 10-11-2023 | 9-17h | Data Engineering / Project Day 2 | The FAIR principles of data management are covered |
George Padberg, route 924 | RTC Data Stewardship, Kicky van Leeuwen |
| 17-11-2023 | 9-17h | AI Products / Project Day 2 | Learn how to choose a suitable AI product and data preparation and model development | George Padberg, route 924 | ----- |
| 24-11-2023 | 9-17h | Text Mining & Bioinformatics | Learn how to get valuable insights from medical records and about AI applications in genetics |
George Padberg, route 924 | RTC Bioinformatics, Koen Dercksen |
| 01-12-2023 | 9-17h | Project Day 3 | Model optimization | George Padberg, route 924 | ----- |
| 08-12-2023 | 9-17h | Project Day 4 | Evaluating model performance and result visualisation | George Padberg, route 924 | Lonneke Opsteegh |
| 15-12-2023 | 9-17h | Ethics & Privacy / Deployment | Ethical and privacy concerns regarding the use of AI are discussed and learn how to deploy your own AI product in practice | George Padberg, route 924 | Marianne Boenink, Leon Haszing, Bram van Ginneken, Erik Gelderblom |
| 22-12-2023 | 9-17h | Project Day 5 | Evaluating model performance | George Padberg, route 924 | ----- |
| 12-01-2024 | 9-13h | Final Presentations | Project groups will present their final results | George Padberg, route 924 | ----- |
Light track program
- The short track takes place on 8 (half) Fridays, 5 optional project days in parentheses: 8 Sep, 22 Sep, 6 Oct, 13 Oct, 27 Oct, 3 Nov, (10 Nov), (17 Nov), 24 Nov, (1 Dec), 8 Dec, (15 Dec), (22 Dec), 12 Jan.
- 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.
- There will be an online training environment with support documentation, discussion forum and blended learning.
- 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 |
|---|---|---|---|---|
| 08-09-2023 | 10-17h | Introduction + Machine Learning 1 | How is AI changing healthcare? How to run an AI project? Follow the CRIPS-DM model for data science projects and start with understanding your data |
George Padberg, route 924 |
| 22-09-2023 | 9-13h | Machine Learning 2 | Learn the basic principles of machine learning and how to measure the Performance of machine learning models |
George Padberg, route 924 |
| 06-10-2023 | 9-13h | Deep Learning 1 | Understand how convolutional neural networks can be used for medical image analysis |
George Padberg, route 924 |
| 27-10-2023 | 9-17h | Deep Learning 2/3 | Learn how to combine text, images and biomedical data for better deep learning models and learn about Transformer models, ChatGPT |
George Padberg, route 924 |
| 03-11-2023 | 9-17h | Project Day 1 | Defining project goals and understanding your data | George Padberg, route 924 |
| 10-11-2023 | 13-17h | Project Day 2 | Data preparation and model development | George Padberg, route 924 |
| 17-11-2023 | 9-17h | AI products / Project Day 2 | Learn how to choose a suitable AI product and data preparation and model development | George Padberg, route 924 |
| 24-11-2023 | 9-13h | Text Mining and Bioinformatics | Learn how to get valuable insights from medical records and about AI applications in genetics |
George Padberg, route 924 |
| 01-12-2023 | 9-17h | Project Day 3 | Model optimization | George Padberg, route 924 |
| 08-12-2023 | 9-17h | Project Day 4 | Evaluating model performance and result visualisation | George Padberg, route 924 |
| 15-12-2023 | 9-13h | Ethics & Privacy | Ethical and privacy concerns regarding the use of AI are discussed | George Padberg, route 924 |
| 22-12-2023 | 9-17h | Project Day 5 | Evaluating model performance | George Padberg, route 924 |
| 12-01-2023 | 9-13h | Final Presentations | Project groups will present their final results | George Padberg, route 924 |