Below you can find any frequently asked questions that we receive. Do you have a question that is not covered below? Don't hesitate to contact us by sending a mail to email@example.com.
Is this course useful for clinicians?
Yes. To close the gap between theory and real world application, clinical expertise is essential in any healthcare AI system. During this course, clinicians will learn to recognize which processes in their daily practice might lend themselves for support by AI applications and get the skills and knowledge to successfully transform ideas into practical innovations.
Is this course useful for researchers?
Yes. This course enables researchers to get much more out of their data by using AI. Researchers are facing increasingly large amounts of data in their work that offer great potential for new scientific insights, but these are often missed by traditional ways of analysis. During this course you will learn AI methods that can help you gain new insights in your field of expertise.
Is this course useful for support staff?
Yes. This course is also important for support staff of the hospital. AI will change the way we work in the hospital and hence what is asked in terms of supporting facilities. Storing, accessing and sharing data is becoming increasingly important, while privacy and ethical concerns regarding AI systems should be addressed. This course enables support staff to understand what is behind the new technologies being introduced in the hospital and help facilitate their implementation in a safe and responsible way.
What are the costs of the course?
The course is free if you are working for RadboudUMC. For external participants, the cost of participation is €7500.-
I don’t have any programming experience, is that a problem?
This is not a problem. If you want to develop your programming skills, you can make use of the subscription we provide to RealPython.com. If you do not have the ambition to learn how to program, but rather want to focus on understanding the principles behind machine learning, deep learning, etc, or develop yourself to being a linking pin between clinicians and data scientists, then this course is just as relevant to you.
I don’t have any AI experience, is that a problem?
That is not a problem. This course starts with the basic of AI and does not require any prior experience with AI. Those who have some prior experience with AI will soon find themselves challenged by the more advanced topics and practical exercises.
Do you need a background in mathematics or statistics for this course?
This is not needed. The course has been tailored such that all important concepts can be understood without much math expertise.
How much time should I invest?
The course consists of 17 full Fridays and one Friday where project results are presented during a graduation ceremony (approximately 2 hours). We expect participants to spend about 2-3 hours a week to prepare for classes and/or work on the group project.
Do I have to bring my own project?
We encourage participants to bring their own project, but this is not mandatory. During the first weeks of the course, we select a few projects such that you can work on a project together with four other participants. Group projects are mentored by AI experts.
I have an idea for a project, does it suit the course?
We welcome any ideas you might have regarding potential projects. You can pitch your ideas with the experts responsible for selecting the projects. If your project is selected, you will be the project leader for this project during the course.