Medical informatics: AI for Health (track)
AI for Health focusses on applications in healthcare of AI techniques such as deep learning, reasoning, natural language processing, image processing and prediction models.
AI for Health is one of the tracks in the Medical informatics Master's Programme.
What is AI for Health about?
The AI for Health track consists of the courses AI for Medical Imaging, Medical AI and Machine Learning and Reasoning for Health.
AI for Medical Imaging
Medical imaging is pervasive in medicine. In this course, the student will learn about how AI is currently applied to medical images for the automation of medical tasks, such as disease diagnosis, abnormality detection and imaging registration.
Medical AI
Medical AI focusses on causal inference from observational data and the use of machine learning approaches in causal inference. The course also dives deeper into the use of neural computing, natural language processing and image processing.
Machine Learning and Reasoning for Health
This course Medical AI and Machine Learning and Reasoning for Health is taught by the AI master programme at the VU. The main focus of this course is to acquaint students with how machine learning and reasoning techniques are integrated and applied in healthcare.
The master's track AI for Health not only provided me with extensive knowledge about AI but also taught me where and how this technology can be applied in healthcare. The courses within the track range from the basic principles of AI to training your own advanced AI models from scratch. What makes this track unique is the combination of theory and practice. We had the opportunity to work with real data and cases from the healthcare sector, making the learning experience highly relevant and engaging. Additionally, the guidance from professors was truly invaluable. They not only provided academic support but also shared insights from their own research and practical experience.Martijn Siepel
- Degree programme
- MSc
- Type
- Regular study programme
- Mode
- Full-time
- Credits
- 120 ECTS, 24 months
- Language of instruction
- English
- Starts in
- February, September
- RIO code
- 66573
- Location
- Amsterdam UMC