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- Title
Perspektivy umělé inteligence v klinické laboratoři a laboratorní medicíně.
- Authors
B., Friedecký
- Abstract
We deal with a highly actual topic for clinical laboratory. Information for labs are necessary and we introduce their recent sources. Application of artificial intelligence in clinical laboratories is realised namely by using the machine learning (ML) approaches. The consequence of use of ML is an important change of results from simple numerical laboratory results to much more data analysis. These data can be tool for personalised and precise medicine and namely for prediction of state of disease and therapy management. Publication deals with sources of current information and with basic principles of machine learning approaches. There is a necessity to change using such approaches from research institutes to routine labs namely in oncology but also in diabetology and cardiovascular disease
- Publication
Klinická Biochemie a Metabolismus, 2023, Vol 31, Issue 2, p62
- ISSN
1210-7921
- Publication type
Article