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Artificial intelligence in intensive care: are we there yet?

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.

出版信息

Intensive Care Med. 2019 Sep;45(9):1298-1300. doi: 10.1007/s00134-019-05662-6. Epub 2019 Jun 24.

DOI:10.1007/s00134-019-05662-6
PMID:31236638
Abstract
摘要

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JAMA. 2019 May 28;321(20):2003-2017. doi: 10.1001/jama.2019.5791.
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High-performance medicine: the convergence of human and artificial intelligence.高性能医学：人机智能融合。
Nat Med. 2019 Jan;25(1):44-56. doi: 10.1038/s41591-018-0300-7. Epub 2019 Jan 7.
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Guidelines for reinforcement learning in healthcare.医疗保健领域强化学习指南。
利用重症监护病房观察性数据进行因果推断：一项范围综述及对未来实践的建议。
NPJ Digit Med. 2023 Nov 27;6(1):221. doi: 10.1038/s41746-023-00961-1.
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Discrepancy between perceptions and acceptance of clinical decision support Systems: implementation of artificial intelligence for vancomycin dosing.临床决策支持系统认知与接受度的差异：万古霉素剂量人工智能的实施。
BMC Med Inform Decis Mak. 2023 Aug 11;23(1):157. doi: 10.1186/s12911-023-02254-9.
5
Prediction algorithm for ICU mortality and length of stay using machine learning.使用机器学习算法预测 ICU 死亡率和住院时间。
Sci Rep. 2022 Jul 28;12(1):12912. doi: 10.1038/s41598-022-17091-5.
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Ignorance Isn't Bliss: We Must Close the Machine Learning Knowledge Gap in Pediatric Critical Care.无知并非幸福：我们必须弥合儿科重症监护中机器学习的知识差距。
Front Pediatr. 2022 May 10;10:864755. doi: 10.3389/fped.2022.864755. eCollection 2022.
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ERS International Congress 2021: highlights from the Respiratory Intensive Care Assembly.欧洲呼吸学会2021年国际大会：呼吸重症监护会议亮点
ERJ Open Res. 2022 May 23;8(2). doi: 10.1183/23120541.00016-2022. eCollection 2022 Apr.
8
Deep Learning-Based Pain Classifier Based on the Facial Expression in Critically Ill Patients.基于危重症患者面部表情的深度学习疼痛分类器
Front Med (Lausanne). 2022 Mar 17;9:851690. doi: 10.3389/fmed.2022.851690. eCollection 2022.
9
Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter.在医学中开发、实施和治理人工智能：预防人工智能寒冬的逐步方法。
BMJ Health Care Inform. 2022 Feb;29(1). doi: 10.1136/bmjhci-2021-100495.
10
Machine Learning for Cardiovascular Outcomes From Wearable Data: Systematic Review From a Technology Readiness Level Point of View.从技术就绪水平角度看可穿戴数据用于心血管结局的机器学习：系统综述
JMIR Med Inform. 2022 Jan 19;10(1):e29434. doi: 10.2196/29434.
Nat Med. 2019 Jan;25(1):16-18. doi: 10.1038/s41591-018-0310-5.
4
Transcriptomic Signatures in Sepsis and a Differential Response to Steroids. From the VANISH Randomized Trial.转录组特征在脓毒症和类固醇的不同反应。来自 VANISH 随机试验。
Am J Respir Crit Care Med. 2019 Apr 15;199(8):980-986. doi: 10.1164/rccm.201807-1419OC.
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The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.人工智能临床医生学习重症监护中脓毒症的最佳治疗策略。
Nat Med. 2018 Nov;24(11):1716-1720. doi: 10.1038/s41591-018-0213-5. Epub 2018 Oct 22.
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Six subphenotypes in septic shock: Latent class analysis of the PROWESS Shock study.六种败血症性休克亚型：PROWESS 休克研究的潜在类别分析。
J Crit Care. 2018 Oct;47:70-79. doi: 10.1016/j.jcrc.2018.06.012. Epub 2018 Jun 8.
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An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.一种用于 ICU 中脓毒症准确预测的可解释机器学习模型。
Crit Care Med. 2018 Apr;46(4):547-553. doi: 10.1097/CCM.0000000000002936.
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What's new in ICU in 2050: big data and machine learning.2050年重症监护病房的新进展：大数据与机器学习
Intensive Care Med. 2018 Sep;44(9):1524-1527. doi: 10.1007/s00134-017-5034-3. Epub 2017 Dec 26.
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Intensive care medicine in 2050: the ICU in vivo.2050年的重症医学：体内重症监护病房
Intensive Care Med. 2017 Nov;43(11):1700-1702. doi: 10.1007/s00134-017-4808-y. Epub 2017 May 8.
10
Translating Artificial Intelligence Into Clinical Care.将人工智能转化为临床护理。
JAMA. 2016 Dec 13;316(22):2368-2369. doi: 10.1001/jama.2016.17217.