Artificial Intelligence (AI) is increasingly becoming an important tool in healthcare, particularly in the field of medical data science. The ability of AI algorithms to analyze and interpret large volumes of data quickly and accurately can be used to improve patient outcomes and reduce healthcare costs. This course will discuss the current applications of AI in medicine, and its potential future uses.
The Artificial Intelligence in Medicine course will comprise the following:
- Lecture
- Exercise
- Group work
The students:
- Can name and explain AI methods used in medicine
- Know AI solutions for diagnosis recommendation, prevention, and detection of risks
- Know approaches, problems, and challenges that AI methods can address
- Can analyze case studies and suggest suitable AI solutions
- Can explain risks and challenges associated with AI solutions
- Can analyze examples of care and treatment processes, identify optimization potentials and propose suitable AI solutions
- Can carry out hands-on preprocessing and analysis of big data sets using AI methods
Contents:
- Fundamentals of AI in Medicine
- Introduction to Python and Python Libraries for Data Science
- Text Mining
- Machine Learning
- Knowledge Acquisition and Representation
- Knowledge Graphs
- Decision Support Systems
- Dozent/in: Jennifer Daniel Onwuchekwa
- Dozent/in: Laura Müller
- Dozent/in: Christian Weber