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

Journal: Clinical biochemistry
Published Date:

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.

Authors

  • Damien Gruson
    Department of Laboratory Medicine, Cliniques Universitaires St-Luc and Université Catholique de Louvain, Brussels, Belgium.
  • Thibault Helleputte
    Data-Driven Precision Medicine, DNAlytics, Louvain-la-Neuve, Belgium.
  • Patrick Rousseau
    Department of Laboratory Medicine, Cliniques Universitaires St-Luc and Université Catholique de Louvain, Brussels, Belgium.
  • David Gruson
    Chaire santé de l'Institut d'études politiques de Paris, Ethik-IA, Paris, France.