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Editorial: Clinical application of artificial intelligence in emergency and critical care medicine, volume III.

作者信息

Zhang Zhongheng, Kashyap Rahul, Su Longxiang, Meng Qinghe

机构信息

Department of Emergency Medicine, Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou, China.

出版信息

Front Med (Lausanne). 2022 Dec 19;9:1075023. doi: 10.3389/fmed.2022.1075023. eCollection 2022.

DOI:10.3389/fmed.2022.1075023
PMID:36600889
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9806846/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/507c/9806846/8e5e7af0514d/fmed-09-1075023-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/507c/9806846/8e5e7af0514d/fmed-09-1075023-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/507c/9806846/8e5e7af0514d/fmed-09-1075023-g0001.jpg

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NPJ Digit Med. 2022 Jul 19;5(1):101. doi: 10.1038/s41746-022-00650-5.
2
Editorial: Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume I.社论:《人工智能在急诊与重症医学中的临床应用,第一卷》
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A guide to machine learning for biologists.生物学机器学习指南。
Nat Rev Mol Cell Biol. 2022 Jan;23(1):40-55. doi: 10.1038/s41580-021-00407-0. Epub 2021 Sep 13.
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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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Two subphenotypes of septic acute kidney injury are associated with different 90-day mortality and renal recovery.两种脓毒症急性肾损伤的亚表型与不同的 90 天死亡率和肾脏恢复有关。
Crit Care. 2020 Apr 15;24(1):150. doi: 10.1186/s13054-020-02866-x.
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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。
Anesthesiology. 2020 Feb;132(2):379-394. doi: 10.1097/ALN.0000000000002960.
7
Development, implementation, and impact of an automated early warning and response system for sepsis.脓毒症自动早期预警与反应系统的开发、实施及影响
J Hosp Med. 2015 Jan;10(1):26-31. doi: 10.1002/jhm.2259. Epub 2014 Sep 26.