自动化
范围(计算机科学)
实验室自动化
计算机科学
人工智能
医学实验室
工程管理
工程类
医学
病理
机械工程
程序设计语言
作者
Christopher Naugler,Deirdre L. Church
标识
DOI:10.1080/10408363.2018.1561640
摘要
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
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