• 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

Applications of artificial intelligence in the emergency department.

作者信息

Moulik Supratik K, Kotter Nina, Fishman Elliot K

机构信息

Cardiovascular and Thoracic Imaging, Radiology Partners Houston, Houston, TX, USA.

VP Clinical Operations, Radiology Partners, New York, NY, USA.

出版信息

Emerg Radiol. 2020 Aug;27(4):355-358. doi: 10.1007/s10140-020-01794-1.

DOI:10.1007/s10140-020-01794-1
PMID:32643067
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7341466/
Abstract
摘要

相似文献

1
Applications of artificial intelligence in the emergency department.人工智能在急诊科的应用。
Emerg Radiol. 2020 Aug;27(4):355-358. doi: 10.1007/s10140-020-01794-1.
2
Artificial intelligence in reproductive medicine: a fleeting concept or the wave of the future?人工智能在生殖医学中的应用：昙花一现的概念还是未来的浪潮？
Fertil Steril. 2020 Nov;114(5):905-907. doi: 10.1016/j.fertnstert.2020.10.002.
3
Radiomics - Using Artificial Intelligence in the Quest towards Personalised Radiation Treatment.放射组学——在寻求个性化放射治疗中运用人工智能
J Coll Physicians Surg Pak. 2019 Feb;29(2):99-100. doi: 10.29271/jcpsp.2019.02.99.
4
How artificial intelligence could transform emergency department operations.人工智能如何改变急诊科的运营。
Am J Emerg Med. 2018 Aug;36(8):1515-1517. doi: 10.1016/j.ajem.2018.01.017. Epub 2018 Jan 4.
5
Adaptive Radiotherapy: Moving Into the Future.自适应放疗：迈向未来
Semin Radiat Oncol. 2019 Jul;29(3):181-184. doi: 10.1016/j.semradonc.2019.02.011.
6
Individualized Knowledge Graph: A Viable Informatics Path to Precision Medicine.个体化知识图谱：精准医学的可行信息学途径。
Circ Res. 2017 Mar 31;120(7):1078-1080. doi: 10.1161/CIRCRESAHA.116.310024.
7
Of Slide Rules and Stethoscopes: AI and the Future of Doctoring.幻灯片规则和听诊器：人工智能和未来的行医。
Hastings Cent Rep. 2019 Sep;49(5):3. doi: 10.1002/hast.1041.
8
The coming 15 years in gynaecological pathology: digitisation, artificial intelligence, and new technologies.未来 15 年妇科病理学：数字化、人工智能和新技术。
Histopathology. 2020 Jan;76(1):171-177. doi: 10.1111/his.13991.
9
How does emerging patent case law in the US and Europe affect precision medicine?美国和欧洲新出现的专利判例法如何影响精准医学？
Nat Biotechnol. 2019 Oct;37(10):1118-1125. doi: 10.1038/s41587-019-0265-1.
10
Healthcare in the 21st century.21世纪的医疗保健。
Eur J Intern Med. 2017 Mar;38:e17. doi: 10.1016/j.ejim.2016.11.002. Epub 2016 Nov 12.

引用本文的文献

1
Artificial intelligence applied to electrocardiogram to rule out acute myocardial infarction: the ROMIAE multicentre study.应用人工智能解读心电图以排除急性心肌梗死：ROMIAE多中心研究
Eur Heart J. 2025 May 21;46(20):1917-1929. doi: 10.1093/eurheartj/ehaf004.
2
The diagnostic performance of automatic B-lines detection for evaluating pulmonary edema in the emergency department among novice point-of-care ultrasound practitioners.急诊科新手床旁超声从业者中自动B线检测在评估肺水肿方面的诊断性能。
Emerg Radiol. 2025 Apr;32(2):241-246. doi: 10.1007/s10140-025-02319-4. Epub 2025 Feb 14.
3
Artificial intelligence in gynecologic and obstetric emergencies.妇产科急症中的人工智能
Int J Emerg Med. 2025 Feb 10;18(1):20. doi: 10.1186/s12245-025-00820-8.
4
Potential Use of Artificial Intelligence (AI) in Disaster Risk and Emergency Health Management: A Critical Appraisal on Environmental Health.人工智能在灾害风险与应急卫生管理中的潜在应用：对环境卫生的批判性评估
Environ Health Insights. 2023 Dec 10;17:11786302231217808. doi: 10.1177/11786302231217808. eCollection 2023.
5
Needs and expectations for artificial intelligence in emergency medicine according to Canadian physicians.根据加拿大医生的说法，急诊医学对人工智能的需求和期望。
BMC Health Serv Res. 2023 Jul 25;23(1):798. doi: 10.1186/s12913-023-09740-w.
6
Artificial intelligence decision points in an emergency department.急诊科中的人工智能决策点
Clin Exp Emerg Med. 2022 Sep;9(3):165-168. doi: 10.15441/ceem.22.366. Epub 2022 Sep 30.
7
Machine learning-based suggestion for critical interventions in the management of potentially severe conditioned patients in emergency department triage.基于机器学习的建议，用于对急诊科分诊中潜在严重病情的患者进行关键干预。
Sci Rep. 2022 Jun 22;12(1):10537. doi: 10.1038/s41598-022-14422-4.
8
Update on establishing and managing an overnight emergency radiology division.建立和管理夜间急诊放射科的最新进展。
Emerg Radiol. 2021 Oct;28(5):993-1001. doi: 10.1007/s10140-021-01935-0. Epub 2021 Apr 21.

本文引用的文献

1
Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems.使用人工智能读取胸部 X 光片检测结核病：三种深度学习系统诊断准确性的多中心评估。
Sci Rep. 2019 Oct 18;9(1):15000. doi: 10.1038/s41598-019-51503-3.
2
Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration.实用的高级机器学习：通过整合临床工作流程，在头部计算机断层扫描中识别颅内出血。
NPJ Digit Med. 2018 Apr 4;1:9. doi: 10.1038/s41746-017-0015-z. eCollection 2018.