• Clinical biochemistry · Jul 2019

    Review

    Data science, artificial intelligence, and machine learning: Opportunities for laboratory medicine and the value of positive regulation.

    • Damien Gruson, Thibault Helleputte, Patrick Rousseau, and David Gruson.
    • Department of Laboratory Medicine, Cliniques Universitaires St-Luc and Université Catholique de Louvain, Brussels, Belgium; Pôle de recherche en Endocrinologie, Diabète et Nutrition, Institut de Recherche Expérimentale et Clinique, Cliniques Universitaires St-Luc and Université Catholique de Louvain, Brussels, Belgium. Electronic address: damien.gruson@uclouvain.be.
    • Clin. Biochem. 2019 Jul 1; 69: 1-7.

    AbstractArtificial intelligence (AI) and data science are rapidly developing in healthcare, as is their translation into laboratory medicine. Our review article presents an overview of the data science domain while discussing the reasons for its emergence. We also present several perspectives of its applications in clinical laboratories, along with potential ethical challenges related to AI and data science.Copyright © 2019 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

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