Has the Flood Entered the Basement? A Systematic Literature Review about Machine Learning in Laboratory Medicine

This article presents a systematic literature review that expands and updates a previous review on the application of machine learning to laboratory medicine. We used Scopus and PubMed to collect, select and analyse the papers published from 2017 to the present in order to highlight the main studies...

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Bibliographic Details
Published inDiagnostics (Basel) Vol. 11; no. 2; p. 372
Main Authors Ronzio, Luca, Cabitza, Federico, Barbaro, Alessandro, Banfi, Giuseppe
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 22.02.2021
MDPI
Subjects
Algorithms
Archives & records
Artificial intelligence
Citation indexes
deep learning
FDA approval
Laboratories
laboratory medicine
laboratory tests
Literature reviews
Machine learning
Medicine
Review
United States > US
deep learning
laboratory medicine
laboratory tests
machine learning
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Summary:This article presents a systematic literature review that expands and updates a previous review on the application of machine learning to laboratory medicine. We used Scopus and PubMed to collect, select and analyse the papers published from 2017 to the present in order to highlight the main studies that have applied machine learning techniques to haematochemical parameters and to review their diagnostic and prognostic performance. In doing so, we aim to address the question we asked three years ago about the potential of these techniques in laboratory medicine and the need to leverage a tool that was still under-utilised at that time.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
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ObjectType-Review-1
ISSN:2075-4418
2075-4418
DOI:10.3390/diagnostics11020372