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

被引：73

作者：

Gruson, Damien ^{[1
,2
,3
]}

Helleputte, Thibault ^{[4
]}

Rousseau, Patrick ^{[1
,2
]}

Gruson, David ^{[5
]}

机构：

[1] Clin Univ St Luc, Dept Lab Med, Brussels, Belgium

[2] Catholic Univ Louvain, Brussels, Belgium

[3] Clin Univ St Luc, Inst Rech Expt & Clin, Pole Rech Endocrinol Diabet & Nutr, Brussels, Belgium

[4] DNAlytics, Data Driven Precis Med, Louvain La Neuve, Belgium

[5] Paris Descartes Univ, Genet Regulat, Paris, France

来源：

CLINICAL BIOCHEMISTRY | 2019年 / 69卷

关键词：

Artificial intelligence; Machine learning; Deep learning; Big data; Health; Ethics; Biomarker; DIAGNOSIS; MANAGEMENT;

D O I：

10.1016/j.clinbiochem.2019.04.013

中图分类号：

R446 [实验室诊断]; R-33 [实验医学、医学实验];

学科分类号：

1001 ;

摘要：

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.

引用

页码：1 / 7

页数：7

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