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

Damien Gruson, Thibault Helleputte, Patrick Rousseau, David Gruson

Journal: Clinical biochemistry 2019;69():1-7

PMID: 31022391

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Abstract

Artificial 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.

Address: 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: [email protected].; Data-Driven Precision Medicine, DNAlytics, Louvain-la-Neuve, Belgium.; Department of Laboratory Medicine, Cliniques Universitaires St-Luc and Université Catholique de Louvain, Brussels, Belgium.; Genetics Regulation for Paris Descartes-University, Paris, France.

DOI: 10.1016/j.clinbiochem.2019.04.013

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MeSH Terms: Artificial Intelligence, Big Data, Data Science, Humans, Machine Learning, Medical Laboratory Science