AI in Health
Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
Area of Study
Taught In English
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits3
Recommended U.S. Quarter Units4
Hours & Credits
The aim of the course is to make the students familiar with a number of Artificial Intelligence techniques (Knowledge and Understanding) and how they can be applied to the medical field (Applying Knowledge and Understanding, Making Judgments). Furthermore, students should have the capability to work in multi-disciplinary teams (AI-students and Health Sciences students), and to learn from each other different background and skills (Communication).
The course will be structured in three thematic modules. In each ofthese modules an AI technique will be introduced, and then applied in
the medical field. Both the AI-technique and a medical topic have to be studied in a practical, hands on, way.
In a nutshell, we plan to cover the topics:
- medical ontologies (eg. SNOMED, MESH, UMLS, ICD10)
- indicators for medical care (cost and quality of care)
- modelling of clinical guidelines
Beside these three modules there are a couple of guest lectures, for instance on natural language processing for medical texts, machine
learning for finding predictors of diseases based on patient data.
There will be lectures and practical sessions, plus significant time for self-study and practical work.
TYPE OF ASSESSMENT
3 practical assignments
Courses and course hours of instruction are subject to change.
Some courses may require additional fees.