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Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients.深度强化学习是否准备好在医疗保健领域实际应用？对败血症患者血流动力学管理的双 DQN 进行敏感性分析。
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Analytics with artificial intelligence to advance the treatment of acute respiratory distress syndrome.利用人工智能进行分析，以推进急性呼吸窘迫综合征的治疗。
J Evid Based Med. 2020 Nov;13(4):301-312. doi: 10.1111/jebm.12418. Epub 2020 Nov 13.
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Fluid administration and monitoring in ARDS: which management?ARDS 中的液体管理和监测：哪种管理方式？
Intensive Care Med. 2020 Dec;46(12):2252-2264. doi: 10.1007/s00134-020-06310-0. Epub 2020 Nov 9.
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World J Crit Care Med. 2020 Jun 5;9(2):13-19. doi: 10.5492/wjccm.v9.i2.13.
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Artificial Intelligence in Anesthesiology: Current Techniques, Clinical Applications, and Limitations.麻醉学中的人工智能：当前技术、临床应用及局限性。
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Artificial Intelligence and Machine Learning in Pathology: The Present Landscape of Supervised Methods.病理学中的人工智能与机器学习：监督方法的现状
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A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice.一种用于预测严重脓毒症和脓毒性休克的机器学习算法：开发、实施及其对临床实践的影响。
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Editorial: Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume II.

作者信息

Zhang Zhongheng, Kashyap Rahul, Liu Nan, Su Longxiang, Meng Qinghe

机构信息

Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Critical Care Independent Multidisciplinary Program, Mayo Clinic, Rochester, MN, United States.

出版信息

Front Med (Lausanne). 2022 May 6;9:910163. doi: 10.3389/fmed.2022.910163. eCollection 2022.

DOI:10.3389/fmed.2022.910163
PMID:35602491
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9121731/
Abstract
摘要