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The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.

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第一作者: Matthieu,Komorowski
第一单位: Department of Surgery and Cancer, Imperial College London, London, UK.;Department of Bioengineering, Imperial College London, London, UK.;Laboratory of Computational Physiology, Harvard-MIT Division of Health Sciences & Technology, Cambridge, MA, USA.
作者单位: Department of Surgery and Cancer, Imperial College London, London, UK.;Department of Bioengineering, Imperial College London, London, UK.;Laboratory of Computational Physiology, Harvard-MIT Division of Health Sciences & Technology, Cambridge, MA, USA. [1] Laboratory of Computational Physiology, Harvard-MIT Division of Health Sciences & Technology, Cambridge, MA, USA.;Beth Israel Deaconess Medical Center, Boston, MA, USA. [2] Laboratory of Computational Physiology, Harvard-MIT Division of Health Sciences & Technology, Cambridge, MA, USA.;Department of eICU Research and Development, Philips Healthcare, Baltimore, MD, USA.;Department of Pharmacy Practice and Science, University of Maryland, School of Pharmacy, Baltimore, MD, USA. [3] Department of Surgery and Cancer, Imperial College London, London, UK. anthony.gordon@imperial.ac.uk. [4] Department of Bioengineering, Imperial College London, London, UK. a.faisal@imperial.ac.uk.;Department of Computer Science, Imperial College London, London, UK. a.faisal@imperial.ac.uk.;Medical Research Council London Institute of Medical Sciences, London, UK. a.faisal@imperial.ac.uk.;Behaviour Analytics Lab, Data Science Institute, London, UK. a.faisal@imperial.ac.uk. [5]
DOI 10.1038/s41591-018-0213-5
PMID 30349085
发布时间 2025-05-30
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