What it is about
You will learn the fundamentals and current methods of Artificial Intelligence in the medical context, from ML for medical imaging through NLP for clinical data to data protection, interpretability and ethical aspects. In the end you can classify the most important topics, apply them to your own deep-learning projects and develop strategies for evaluation and implementation in clinical practice.
What you will be able to do
- Name important topics of AI in Medicine
- Understand the relationships between the topics
- Apply knowledge to your own deep-learning projects
- Analyze and evaluate social and ethical impacts
- Develop strategies to apply concepts in your own working context
What the module consists of
- LectureDelivery of subject content
- TutorialDeepening and discussion of the lecture content
- Problems for individual studyIndependent practice and application of what has been learned
- Guest lecturesPractically relevant insights from experts from clinics and Med‑Tech
Teaching method
- LectureIntroduction and explanation of central concepts
- TutorialDiscussion and deepening of the lecture content
- Weekly assignments via learning portalSelf-check and practice in preparation for the exam
- Guest lecturesEnsuring relevance for clinical practice