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Medical Leadership

Artificial Intelligence (AI) and Machine Learning (ML) - An Overview

Course objective

The participants:

  • learn how the digital hospital is generating digital data, what components of a “Health IT” are relevant for making use of them, and how “AI” can be used to process the related health and patient information;
  • learn how training an “AI” system relates to software programming and other concepts of machine learning;
  • will be able to reflect on current technological developments of AI-based diagnostics.


  • Intro to infrastructure for data acquisition and information processing in a “smart hospital", discussion of the concepts from a user perspective;
  • Concepts of data storage, integration, and information processing from medical informatics, discussion of the concepts from a user perspective;
  • Intro to machine learning concepts and algorithms (e.g., supervised and unsupervised learning, neural networks);
  • Intro to machine learning for image data with use case in image-based diagnostics: methodological foundations and having a glance at (and reflecting on) the current literature and technology.


Prof. Dr. Bjoern Menze, UZH

Gastreferate geplant

Modul in Deutsch und Englisch


7. Juni   (Freitag)

Weiterführende Informationen