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Wie funktioniert maschinelles Lernen?
A primer on machine learning
Radiologe 60, 24-31 (2020)
BACKGROUND: The methods of machine learning and artificial intelligence are slowly but surely being introduced in everyday medical practice. In the future, they will support us in diagnosis and therapy and thus improve treatment for the benefit of the individual patient. It is therefore important to deal with this topic and to develop a basic understanding of it. OBJECTIVES: This article gives an overview of the exciting and dynamic field of machine learning and serves as an introduction to some methods primarily from the realm of supervised learning. In addition to definitions and simple examples, limitations are discussed. CONCLUSIONS: The basic principles behind the methods are simple. Nevertheless, due to their high dimensional nature, the factors influencing the results are often difficult or impossible to understand by humans. In order to build confidence in the new technologies and to guarantee their safe application, we need explainable algorithms and prospective effectiveness studies.
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Publication type
Article: Journal article
Document type
Review
Keywords
Artificial Neural Networks ; Deep Learning ; Digital Literacy ; Machine Learning ; New Technologies
ISSN (print) / ISBN
0033-832X
e-ISSN
1432-2102
Journal
Radiologe, Der
Quellenangaben
Volume: 60,
Issue: 1,
Pages: 24-31
Publisher
Springer
Reviewing status
Peer reviewed