• 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
Artificial Intelligence in Anesthesiology: Field of Dreams or Fire Swamp? Preemptive Strategies for Optimizing Our Inevitable Future.麻醉学中的人工智能：梦幻之地还是危险之地？优化我们不可避免的未来的先发策略。
Anesthesiology. 2024 Aug 1;141(2):217-221. doi: 10.1097/ALN.0000000000005046.
2
Strengthening Discovery and Application of Artificial Intelligence in Anesthesiology: A Report from the Anesthesia Research Council.加强人工智能在麻醉学中的发现与应用：麻醉研究委员会的报告
Anesthesiology. 2025 Apr 1;142(4):599-610. doi: 10.1097/ALN.0000000000005326. Epub 2025 Mar 11.
3
Artificial Intelligence in Anesthesiology: Hype, Hope, and Hurdles.麻醉学中的人工智能：炒作、希望与障碍
Anesth Analg. 2020 May;130(5):1111-1113. doi: 10.1213/ANE.0000000000004751.
4
Strengthening Discovery and Application of Artificial Intelligence in Anesthesiology: A Report from the Anesthesia Research Council.加强人工智能在麻醉学中的发现与应用：麻醉研究委员会的报告
Anesth Analg. 2025 Apr 1;140(4):920-930. doi: 10.1213/ANE.0000000000007474. Epub 2025 Mar 14.
5
Artificial Intelligence and Machine Learning in Anesthesiology.人工智能和机器学习在麻醉学中的应用。
Anesthesiology. 2019 Dec;131(6):1346-1359. doi: 10.1097/ALN.0000000000002694.
6
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
Artificial intelligence and its clinical application in Anesthesiology: a systematic review.人工智能及其在麻醉学中的临床应用：系统评价。
J Clin Monit Comput. 2024 Apr;38(2):247-259. doi: 10.1007/s10877-023-01088-0. Epub 2023 Oct 21.
8
Comprehensive Global Analysis of Future Trends in Artificial Intelligence-Assisted Veterinary Medicine.人工智能辅助兽医学未来趋势的全球综合分析
Vet Med Sci. 2025 May;11(3):e70258. doi: 10.1002/vms3.70258.
9
Artificial intelligence and regional anesthesiology education curriculum development: navigating the digital noise.人工智能与区域麻醉学教育课程开发：应对数字噪音
Reg Anesth Pain Med. 2025 Jul 4;50(7):592-594. doi: 10.1136/rapm-2024-105522.
10
Emerging Technology and the Future of Perioperative Care: Perspectives and Recommendations From the 2023 Stoelting Conference of the Anesthesia Patient Safety Foundation.新兴技术与围手术期护理的未来：麻醉患者安全基金会2023年斯托尔廷会议的观点与建议
Anesth Analg. 2025 Jul 1;141(1):139-151. doi: 10.1213/ANE.0000000000007540. Epub 2025 May 7.

本文引用的文献

1
Artificial Intelligence in Perioperative Care: Opportunities and Challenges.人工智能在围手术期护理中的应用：机遇与挑战。
Anesthesiology. 2024 Aug 1;141(2):379-387. doi: 10.1097/ALN.0000000000005013.
2
Opportunities of AI-powered applications in anesthesiology to enhance patient safety.人工智能驱动的应用程序在麻醉学中提高患者安全性的机遇。
Int Anesthesiol Clin. 2024 Apr 1;62(2):26-33. doi: 10.1097/AIA.0000000000000437. Epub 2024 Feb 13.
3
Decision-making in anesthesiology: will artificial intelligence make intraoperative care safer?麻醉学决策：人工智能会使术中护理更安全吗？
Curr Opin Anaesthesiol. 2023 Dec 1;36(6):691-697. doi: 10.1097/ACO.0000000000001318. Epub 2023 Oct 13.
4
Considerations for addressing bias in artificial intelligence for health equity.解决人工智能中影响健康公平性的偏差的考量因素。
NPJ Digit Med. 2023 Sep 12;6(1):170. doi: 10.1038/s41746-023-00913-9.
5
Ironies of artificial intelligence.人工智能的讽刺。
Ergonomics. 2023 Nov;66(11):1656-1668. doi: 10.1080/00140139.2023.2243404. Epub 2023 Aug 6.
6
Competencies for the Use of Artificial Intelligence-Based Tools by Health Care Professionals.医疗保健专业人员使用基于人工智能的工具的能力。
Acad Med. 2023 Mar 1;98(3):348-356. doi: 10.1097/ACM.0000000000004963. Epub 2022 Sep 6.
7
A Sociotechnical Systems Framework for the Application of Artificial Intelligence in Health Care Delivery.一种用于在医疗保健服务中应用人工智能的社会技术系统框架。
J Cogn Eng Decis Mak. 2022 Dec;16(4):194-206. doi: 10.1177/15553434221097357. Epub 2022 May 11.
8
The Potential For Bias In Machine Learning And Opportunities For Health Insurers To Address It.机器学习中的潜在偏差及其被健康保险公司利用的机会。
Health Aff (Millwood). 2022 Feb;41(2):212-218. doi: 10.1377/hlthaff.2021.01287.
9
Trust in AI: why we should be designing for APPROPRIATE reliance.信任人工智能：为什么我们应该设计出适当的依赖关系。
J Am Med Inform Assoc. 2021 Dec 28;29(1):207-212. doi: 10.1093/jamia/ocab238.
10
Algorithmovigilance-Advancing Methods to Analyze and Monitor Artificial Intelligence-Driven Health Care for Effectiveness and Equity.算法监管——推进分析和监测人工智能驱动的医疗保健的有效性和公平性的方法。
JAMA Netw Open. 2021 Apr 1;4(4):e214622. doi: 10.1001/jamanetworkopen.2021.4622.

Artificial Intelligence in Anesthesiology: Field of Dreams or Fire Swamp? Preemptive Strategies for Optimizing Our Inevitable Future.

作者信息

Salwei Megan E, Weinger Matthew B

机构信息

Center for Research and Innovation in Systems Safety, Department of Anesthesiology and the Institute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, Tennessee.

出版信息

Anesthesiology. 2024 Aug 1;141(2):217-221. doi: 10.1097/ALN.0000000000005046.

DOI:10.1097/ALN.0000000000005046
PMID:38980165
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11831969/
Abstract
摘要