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

作者信息

Gruson Damien, Helleputte Thibault, Rousseau Patrick, Gruson David

机构信息

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.

Data-Driven Precision Medicine, DNAlytics, Louvain-la-Neuve, Belgium.

出版信息

Clin Biochem. 2019 Jul;69:1-7. doi: 10.1016/j.clinbiochem.2019.04.013. Epub 2019 Apr 22.

DOI:10.1016/j.clinbiochem.2019.04.013
PMID:31022391
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.

摘要

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