Automation and artificial intelligence in the clinical laboratory.
The daily operation of clinical laboratories will be drastically impacted by two disruptive technologies: automation and artificial intelligence (the development and use of computer systems able to perform tasks that normally require human intelligence). These technologies will also expand the scope...
| Publicado en: | Critical Reviews in Clinical Laboratory Sciences Vol. 56; no. 2; pp. 98 - 111 |
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| Autores principales: | , |
| Formato: | pictorial review tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Mar2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=135862730&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135862730 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10408363 1AV jtl: Critical Reviews in Clinical Laboratory Sciences issn: 10408363 maglogo: Y pubinfo: dt: Mar2019 vid: 56 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 135862730 135862730 135862730 10.1080/10408363.2018.1561640 135862730 ppf: 98 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Automation and artificial intelligence in the clinical laboratory. aug: au: Naugler, Christopher Church, Deirdre L. affil: Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, Canada sug: subj: Automation, Laboratory Artificial Intelligence Clinical Laboratories Workforce Individualized Medicine Pathology, Clinical Models, Theoretical Facility Design and Construction ab: The daily operation of clinical laboratories will be drastically impacted by two disruptive technologies: automation and artificial intelligence (the development and use of computer systems able to perform tasks that normally require human intelligence). These technologies will also expand the scope of laboratory medicine. Automation will result in increased efficiency but will require changes to laboratory infrastructure and a shift in workforce training requirements. The application of artificial intelligence to large clinical datasets generated through increased automation will lead to the development of new diagnostic and prognostic models. Together, automation and artificial intelligence will support the move to personalized medicine. Changes in pathology and clinical doctoral scientist training will be necessary to fully participate in these changes. KEYWORDS: Automation; artificial intelligence; deep learning; laboratory medicine pubtype: Academic Journal doctype: pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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