Data science, artificial intelligence, and machine learning: Opportunities for laboratory medicine and the value of positive regulation
| Autor: | Patrick Rousseau, David Gruson, Thibault Helleputte, Damien Gruson |
|---|---|
| Přispěvatelé: | UCL - SSS/IREC/EDIN - Pôle d'endocrinologie, diabète et nutrition, UCL - (SLuc) Service de biochimie médicale |
| Rok vydání: | 2019 |
| Předmět: |
Big Data
Value (ethics) Artificial intelligence 030213 general clinical medicine Engineering Clinical Biochemistry Big data Medical laboratory 030204 cardiovascular system & hematology Domain (software engineering) Machine Learning 03 medical and health sciences 0302 clinical medicine Artificial Intelligence Health care Medical Laboratory Science Humans Ethics business.industry Deep learning Data Science Biomarker General Medicine Data science Health business |
| Zdroj: | Clinical biochemistry, Vol. 69, p. 1-7 (2019) |
| ISSN: | 0009-9120 |
| DOI: | 10.1016/j.clinbiochem.2019.04.013 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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