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Digital future in perioperative medicine: Are we there yet?

作者信息

Panchagnula Umakanth, Shanmugam Mohan, Rao Biyyam Meghna

机构信息

Division of Anaesthesia, Critical Care and Perioperative Medicine, Manchester University Hospitals, Manchester, United Kingdom.

University of Liverpool School of Medicine, United Kingdom.

出版信息

J Anaesthesiol Clin Pharmacol. 2019 Jul-Sep;35(3):292-294. doi: 10.4103/joacp.JOACP_228_19.

DOI:10.4103/joacp.JOACP_228_19
PMID:31543574
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6748005/
Abstract
摘要

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Digital future in perioperative medicine: Are we there yet?围手术期医学的数字未来：我们到了吗？
J Anaesthesiol Clin Pharmacol. 2019 Jul-Sep;35(3):292-294. doi: 10.4103/joacp.JOACP_228_19.
2
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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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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。
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Artificial Intelligence for Anesthesia: What the Practicing Clinician Needs to Know: More than Black Magic for the Art of the Dark.麻醉学中的人工智能：临床执业医师需要了解的内容：不仅仅是黑暗艺术中的魔法。
Anesthesiology. 2018 Oct;129(4):619-622. doi: 10.1097/ALN.0000000000002384.
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Machine-learning Algorithm to Predict Hypotension Based on High-fidelity Arterial Pressure Waveform Analysis.基于高保真动脉压力波形分析的低血压预测机器学习算法。
Anesthesiology. 2018 Oct;129(4):663-674. doi: 10.1097/ALN.0000000000002300.
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Prediction of Bispectral Index during Target-controlled Infusion of Propofol and Remifentanil: A Deep Learning Approach.基于深度神经网络的丙泊酚和瑞芬太尼靶控输注时脑电双频指数预测模型
Anesthesiology. 2018 Mar;128(3):492-501. doi: 10.1097/ALN.0000000000001892.
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Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View.生物医学研究中机器学习预测模型开发与报告指南：多学科视角
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Clinical Performance and Safety of Closed-Loop Systems: A Systematic Review and Meta-analysis of Randomized Controlled Trials.闭环系统的临床性能与安全性：随机对照试验的系统评价与荟萃分析
Anesth Analg. 2017 Feb;124(2):446-455. doi: 10.1213/ANE.0000000000001372.
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Automated versus non-automated weaning for reducing the duration of mechanical ventilation for critically ill adults and children.采用自动化与非自动化撤机方式以缩短危重症成人和儿童机械通气时间
Cochrane Database Syst Rev. 2014 Jun 10;2014(6):CD009235. doi: 10.1002/14651858.CD009235.pub3.
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Artificial intelligence framework for simulating clinical decision-making: a Markov decision process approach.人工智能框架模拟临床决策：马尔可夫决策过程方法。
Artif Intell Med. 2013 Jan;57(1):9-19. doi: 10.1016/j.artmed.2012.12.003. Epub 2012 Dec 31.