• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

相似文献

1
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》
Front Med (Lausanne). 2021 Dec 6;8:809478. doi: 10.3389/fmed.2021.809478. eCollection 2021.
2
Editorial: Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume II.社论：《人工智能在急诊与重症医学中的临床应用（第二卷）》
Front Med (Lausanne). 2022 May 6;9:910163. doi: 10.3389/fmed.2022.910163. eCollection 2022.
3
Editorial: Clinical application of artificial intelligence in emergency and critical care medicine, volume IV.社论：人工智能在急诊与重症医学中的临床应用，第四卷。
Front Med (Lausanne). 2024 Jan 9;10:1346070. doi: 10.3389/fmed.2023.1346070. eCollection 2023.
4
Editorial: Clinical application of artificial intelligence in emergency and critical care medicine, volume III.社论：人工智能在急诊与重症医学中的临床应用，第三卷。
Front Med (Lausanne). 2022 Dec 19;9:1075023. doi: 10.3389/fmed.2022.1075023. eCollection 2022.
5
[Artificial intelligence provides promotion of big data in medical work and contribution to people's health as soon as possible: real-time warning of critical illness is the pioneer of artificial intelligence in clinical medicine].[人工智能推动医学工作中的大数据发展，尽快为人们的健康做出贡献：危重症实时预警是人工智能在临床医学中的先锋应用]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2020 Oct;32(10):1155-1159. doi: 10.3760/cma.j.cn121430-20200719-00567.
6
Artificial Intelligence-Based Traditional Chinese Medicine Assistive Diagnostic System: Validation Study.基于人工智能的中医辅助诊断系统：验证研究。
JMIR Med Inform. 2020 Jun 15;8(6):e17608. doi: 10.2196/17608.
7
Artificial intelligence and radiomics in nuclear medicine: potentials and challenges.人工智能与核医学影像组学：潜力与挑战
Eur J Nucl Med Mol Imaging. 2019 Dec;46(13):2731-2736. doi: 10.1007/s00259-019-04593-0.
8
For a critical appraisal of artificial intelligence in healthcare: The problem of bias in mHealth.人工智能在医疗保健领域的批判性评价：移动医疗中的偏见问题。
J Eval Clin Pract. 2021 Jun;27(3):513-519. doi: 10.1111/jep.13528. Epub 2020 Dec 23.
9
Artificial Intelligence and Machine Learning in Nuclear Medicine: Future Perspectives.人工智能和机器学习在核医学中的应用：未来展望。
Semin Nucl Med. 2021 Mar;51(2):170-177. doi: 10.1053/j.semnuclmed.2020.08.003. Epub 2020 Sep 12.
10
Integrating Artificial and Human Intelligence: A Partnership for Responsible Innovation in Biomedical Engineering and Medicine.人工智能与人类智能的融合：生物医学工程和医学领域负责任创新的合作伙伴关系。
OMICS. 2020 May;24(5):247-263. doi: 10.1089/omi.2019.0038. Epub 2019 Jul 16.

引用本文的文献

1
Editorial: Clinical application of artificial intelligence in emergency and critical care medicine, volume III.社论：人工智能在急诊与重症医学中的临床应用，第三卷。
Front Med (Lausanne). 2022 Dec 19;9:1075023. doi: 10.3389/fmed.2022.1075023. eCollection 2022.

本文引用的文献

1
A Survey of Orthographic Information in Machine Translation.机器翻译中的正字法信息调查
SN Comput Sci. 2021;2(4):330. doi: 10.1007/s42979-021-00723-4. Epub 2021 Jun 7.
2
The application of artificial intelligence in hepatology: A systematic review.人工智能在肝脏病学中的应用：系统评价。
Dig Liver Dis. 2022 Mar;54(3):299-308. doi: 10.1016/j.dld.2021.06.011. Epub 2021 Jul 12.
3
Individualized resuscitation strategy for septic shock formalized by finite mixture modeling and dynamic treatment regimen.基于有限混合模型和动态治疗方案制定的脓毒性休克个体化复苏策略。
Crit Care. 2021 Jul 12;25(1):243. doi: 10.1186/s13054-021-03682-7.
4
Individualized Mechanical power-based ventilation strategy for acute respiratory failure formalized by finite mixture modeling and dynamic treatment regimen.通过有限混合模型和动态治疗方案制定的针对急性呼吸衰竭的个体化基于机械功率的通气策略。
EClinicalMedicine. 2021 May 24;36:100898. doi: 10.1016/j.eclinm.2021.100898. eCollection 2021 Jun.
5
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。
AMIA Annu Symp Proc. 2021 Jan 25;2020:773-782. eCollection 2020.
6
Hands-on training about overfitting.过拟合的实操训练。
PLoS Comput Biol. 2021 Mar 4;17(3):e1008671. doi: 10.1371/journal.pcbi.1008671. eCollection 2021 Mar.
7
Derivation and Validation of an Ensemble Model for the Prediction of Agitation in Mechanically Ventilated Patients Maintained Under Light Sedation.机械通气患者在浅镇静下躁动预测的集成模型的建立与验证。
Crit Care Med. 2021 Mar 1;49(3):e279-e290. doi: 10.1097/CCM.0000000000004821.
8
Explainable AI: A Review of Machine Learning Interpretability Methods.可解释人工智能：机器学习可解释性方法综述
Entropy (Basel). 2020 Dec 25;23(1):18. doi: 10.3390/e23010018.
9
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.
10
Artificial intelligence and computer simulation models in critical illness.危重症中的人工智能与计算机模拟模型
World J Crit Care Med. 2020 Jun 5;9(2):13-19. doi: 10.5492/wjccm.v9.i2.13.

Editorial: Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume I.

作者信息

Zhang Zhongheng, Liu Nan, Meng Qinghe, Su Longxiang

机构信息

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

Programme in Health Services and Systems Research, Duke-National University of Singapore Medical School, Singapore, Singapore.

出版信息

Front Med (Lausanne). 2021 Dec 6;8:809478. doi: 10.3389/fmed.2021.809478. eCollection 2021.

DOI:10.3389/fmed.2021.809478
PMID:34938754
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8685312/
Abstract
摘要