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.
Content
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.
