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

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 applica...

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Bibliographic Details
Published inClinical biochemistry Vol. 69; pp. 1 - 7
Main Authors Gruson, Damien, Helleputte, Thibault, Rousseau, Patrick, Gruson, David
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.07.2019
Subjects
Artificial Intelligence
Big Data
Biomarker
Data Science
Deep learning
Ethics
Health
Humans
Machine Learning
Medical Laboratory Science
Deep learning
Ethics
Biomarker
Health
Machine learning
Big data
Artificial intelligence
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Summary: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. •The translation of artificial intelligence (AI) to laboratory medicine is ongoing.•The reasons for the emergence of AI are discussed.•Perspectives of applications in clinical laboratories are presented•The potential ethical challenges related to AI are discussed.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
ISSN:0009-9120
1873-2933
DOI:10.1016/j.clinbiochem.2019.04.013