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Review
. 2021 Feb 22;11(2):372.
doi: 10.3390/diagnostics11020372.

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

Luca Ronzio  1 , Federico Cabitza  1 , Alessandro Barbaro  2 , Giuseppe Banfi  2   3
Affiliations
Review

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

Luca Ronzio et al. Diagnostics (Basel). .

Abstract

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.

Keywords: deep learning; laboratory medicine; laboratory tests; machine learning.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Description of the sample of surveyed articles.
Figure 2
Figure 2
Published papers based on their medical specialty.
Figure 3
Figure 3
The families of the best performing models described in the articles based on the year of publication.
See this image and copyright information in PMC

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