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Clinical management of sepsis can be improved by artificial intelligence: yes.

作者信息

Komorowski Matthieu

机构信息

Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.

Intensive Care Unit, Charing Cross Hospital, Fulham Palace Road, London, W6 8RF, UK.

出版信息

Intensive Care Med. 2020 Feb;46(2):375-377. doi: 10.1007/s00134-019-05898-2. Epub 2019 Dec 13.

DOI:10.1007/s00134-019-05898-2
PMID:31834423
Abstract
摘要

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本文引用的文献

[1]
The Last Mile: Where Artificial Intelligence Meets Reality.

J Med Internet Res. 2019-11-8

[2]
Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis.

JAMA. 2019-5-28

[3]
Prediction of sepsis patients using machine learning approach: A meta-analysis.

Comput Methods Programs Biomed. 2018-12-26

[4]
High-performance medicine: the convergence of human and artificial intelligence.

Nat Med. 2019-1-7

[5]
Transcriptomic Signatures in Sepsis and a Differential Response to Steroids. From the VANISH Randomized Trial.

Am J Respir Crit Care Med. 2019-4-15

[6]
The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.

Nat Med. 2018-10-22

[7]
Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial.

BMJ Open Respir Res. 2017-11-9

[8]
Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU.

BMJ Open. 2018-1-26

[9]
Application of the Third International Consensus Definitions for Sepsis (Sepsis-3) Classification: a retrospective population-based cohort study.

Lancet Infect Dis. 2017-6

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