Journal
CLINICAL BIOCHEMISTRY
Volume 69, Issue -, Pages 1-7Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.clinbiochem.2019.04.013
Keywords
Artificial intelligence; Machine learning; Deep learning; Big data; Health; Ethics; Biomarker
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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.
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