• 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
Utility of AI models in critical care: union of man and the machine.人工智能模型在重症监护中的效用：人与机器的结合
Crit Care. 2021 Feb 2;25(1):46. doi: 10.1186/s13054-021-03478-9.
2
Machine Learning and Artificial Intelligence in Neurocritical Care: a Specialty-Wide Disruptive Transformation or a Strategy for Success.机器学习和人工智能在神经危重症护理中的应用：是一种全专业范围的颠覆性变革，还是一种成功策略。
Curr Neurol Neurosci Rep. 2019 Nov 13;19(11):89. doi: 10.1007/s11910-019-0998-8.
3
Machine Learning and Artificial Intelligence in Pediatric Research: Current State, Future Prospects, and Examples in Perioperative and Critical Care.机器学习与人工智能在儿科研究中的应用：现状、未来展望及围手术期与重症监护领域的实例
J Pediatr. 2020 Jun;221S:S3-S10. doi: 10.1016/j.jpeds.2020.02.039.
4
Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care?人工智能、机器学习、深度学习和认知计算：这些术语是什么意思，它们将如何影响医疗保健？
J Arthroplasty. 2018 Aug;33(8):2358-2361. doi: 10.1016/j.arth.2018.02.067. Epub 2018 Feb 27.
5
Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology.人工智能和机器学习在放射学中的应用的优势、劣势、机会和威胁分析。
J Am Coll Radiol. 2019 Sep;16(9 Pt B):1239-1247. doi: 10.1016/j.jacr.2019.05.047.
6
How Bioethics Can Shape Artificial Intelligence and Machine Learning.生物伦理学如何塑造人工智能和机器学习
Hastings Cent Rep. 2018 Sep;48(5):10-13. doi: 10.1002/hast.895.
7
The current state of artificial intelligence in ophthalmology.人工智能在眼科学中的应用现状。
Surv Ophthalmol. 2019 Mar-Apr;64(2):233-240. doi: 10.1016/j.survophthal.2018.09.002. Epub 2018 Sep 22.
8
Artificial intelligence in reproductive medicine.人工智能在生殖医学中的应用。
Reproduction. 2019 Oct;158(4):R139-R154. doi: 10.1530/REP-18-0523.
9
Rethinking Drug Repositioning and Development with Artificial Intelligence, Machine Learning, and Omics.利用人工智能、机器学习和组学重新思考药物重定位和开发。
OMICS. 2019 Nov;23(11):539-548. doi: 10.1089/omi.2019.0151. Epub 2019 Oct 25.
10
The use of artificial intelligence, machine learning and deep learning in oncologic histopathology.人工智能、机器学习和深度学习在肿瘤组织病理学中的应用。
J Oral Pathol Med. 2020 Oct;49(9):849-856. doi: 10.1111/jop.13042. Epub 2020 Jun 15.

引用本文的文献

1
Developing DELPHI expert consensus rules for a digital twin model of acute stroke care in the neuro critical care unit.制定德尔菲专家共识规则，用于神经重症监护病房急性脑卒中护理的数字孪生模型。
BMC Neurol. 2023 Apr 22;23(1):161. doi: 10.1186/s12883-023-03192-9.
2
Regulatory oversight and ethical concerns surrounding software as medical device (SaMD) and digital twin technology in healthcare.围绕医疗保健领域中作为医疗器械的软件（SaMD）和数字孪生技术的监管监督及伦理问题。
Ann Transl Med. 2022 Sep;10(18):950. doi: 10.21037/atm-22-4203.

本文引用的文献

1
The future of AI in critical care is augmented, not artificial, intelligence.重症监护领域人工智能的未来是增强智能，而非人工智能。
Crit Care. 2020 Dec 2;24(1):673. doi: 10.1186/s13054-020-03404-5.
2
Development and Verification of a Digital Twin Patient Model to Predict Specific Treatment Response During the First 24 Hours of Sepsis.用于预测脓毒症最初24小时内特定治疗反应的数字孪生患者模型的开发与验证
Crit Care Explor. 2020 Nov 16;2(11):e0249. doi: 10.1097/CCE.0000000000000249. eCollection 2020 Nov.
3
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.
4
A clinically applicable approach to continuous prediction of future acute kidney injury.一种临床适用的急性肾损伤未来发生的连续预测方法。
Nature. 2019 Aug;572(7767):116-119. doi: 10.1038/s41586-019-1390-1. Epub 2019 Jul 31.
5
Archimedes: a trial-validated model of diabetes.阿基米德：一种经试验验证的糖尿病模型。
Diabetes Care. 2003 Nov;26(11):3093-101. doi: 10.2337/diacare.26.11.3093.

Utility of AI models in critical care: union of man and the machine.

作者信息

Lal Amos, Herasevich Vitaly, Gajic Ognjen

机构信息

Division of Pulmonary and Critical Care Medicine, Department of Medicine, Multidisciplinary Epidemiology and Translational Research in Intensive Care Group, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA.

Division of Critical Care, Department of Anesthesiology and Perioperative Medicine, Multidisciplinary Epidemiology and Translational Research in Intensive Care Group, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA.

出版信息

Crit Care. 2021 Feb 2;25(1):46. doi: 10.1186/s13054-021-03478-9.

DOI:10.1186/s13054-021-03478-9
PMID:33531063
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7852115/
Abstract
摘要