Artificial Intelligence in Medicine

Lecture: Artificial Intelligence in Medicine

Within the Master's module 18-ha-2020, students learn methods of machine learning in the context of medicine. In particular, medical data are emphasized here. The course material is only available in German.


  • Introduction, terms and delimitations
  • Data acquisition and preprocessing
  • Feature extraction and visualization methods
  • Statistical fundamentals
  • Classification methods
  • Linear Regression, Logistic Regression
  • Support Vector Machines
  • Decision Trees, Random Forest, XGBoost
  • Neural Networks
  • Overfitting and underfitting with medical data
  • Influence of unbalanced data sets
  • Evaluation of algorithms
  • “Explainable AI”
  • Regulatory Requirements