• 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

儿科心脏病学的下一个前沿:人工智能。

The Next Frontier in Pediatric Cardiology: Artificial Intelligence.

机构信息

UC Irvine Pediatrics Residency Program, Choc Children's Hospital of Orange County, 757 Westwood Plaza, Ste 5235, Los Angeles, CA 90095-8358, USA.

Boston Children's Hospital Heart Center, 300 Longwood Avenue, Boston, MA 02115, USA.

出版信息

Pediatr Clin North Am. 2020 Oct;67(5):995-1009. doi: 10.1016/j.pcl.2020.06.010.

DOI:10.1016/j.pcl.2020.06.010
PMID:32888694
Abstract

Artificial intelligence (AI) in the last decade centered primarily around digitizing and incorporating the large volumes of patient data from electronic health records. AI is now poised to make the next step in health care integration, with precision medicine, imaging support, and development of individual health trends with the popularization of wearable devices. Future clinical pediatric cardiologists will use AI as an adjunct in delivering optimum patient care, with the help of accurate predictive risk calculators, continual health monitoring from wearables, and precision medicine. Physicians must also protect their patients' health information from monetization or exploitation.

摘要

人工智能(AI)在过去十年中主要集中在数字化和整合来自电子健康记录的大量患者数据。现在,人工智能准备在医疗保健整合方面迈出下一步,通过普及可穿戴设备,实现精准医学、影像支持和个人健康趋势的发展。未来的临床儿科心脏病专家将在提供最佳患者护理方面使用人工智能,借助准确的预测风险计算器、可穿戴设备的持续健康监测和精准医学。医生还必须保护患者的健康信息免受货币化或利用。

相似文献

1
The Next Frontier in Pediatric Cardiology: Artificial Intelligence.儿科心脏病学的下一个前沿:人工智能。
Pediatr Clin North Am. 2020 Oct;67(5):995-1009. doi: 10.1016/j.pcl.2020.06.010.
2
Artificial Intelligence in Precision Cardiovascular Medicine.人工智能在精准心血管医学中的应用。
J Am Coll Cardiol. 2017 May 30;69(21):2657-2664. doi: 10.1016/j.jacc.2017.03.571.
3
Implementing Artificial Intelligence and Digital Health in Resource-Limited Settings? Top 10 Lessons We Learned in Congenital Heart Defects and Cardiology.在资源有限的环境中实施人工智能和数字健康?我们在先天性心脏病和心脏病学中获得的十大经验教训。
OMICS. 2020 May;24(5):264-277. doi: 10.1089/omi.2019.0142. Epub 2019 Oct 8.
4
Artificial intelligence in precision medicine in hepatology.人工智能在肝脏病精准医学中的应用。
J Gastroenterol Hepatol. 2021 Mar;36(3):569-580. doi: 10.1111/jgh.15415.
5
Artificial intelligence in cardiology: fundamentals and applications.人工智能在心脏病学中的应用:基础与应用
Intern Med J. 2022 Jun;52(6):912-920. doi: 10.1111/imj.15562. Epub 2022 May 31.
6
Applications of Artificial Intelligence in Cardiology. The Future is Already Here.人工智能在心脏病学中的应用。未来已来。
Rev Esp Cardiol (Engl Ed). 2019 Dec;72(12):1065-1075. doi: 10.1016/j.rec.2019.05.014. Epub 2019 Oct 12.
7
Artificial Intelligence in Cardiology.人工智能在心脏病学中的应用。
J Am Coll Cardiol. 2018 Jun 12;71(23):2668-2679. doi: 10.1016/j.jacc.2018.03.521.
8
Artificial Intelligence in Medical Practice: The Question to the Answer?人工智能在医疗实践中的应用:问题的答案?
Am J Med. 2018 Feb;131(2):129-133. doi: 10.1016/j.amjmed.2017.10.035. Epub 2017 Nov 7.
9
Artificial intelligence: A joint narrative on potential use in pediatric stem and immune cell therapies and regenerative medicine.人工智能:关于其在儿科干细胞与免疫细胞疗法及再生医学中潜在应用的联合叙述。
Transfus Apher Sci. 2018 Jun;57(3):422-424. doi: 10.1016/j.transci.2018.05.004. Epub 2018 May 9.
10
The Role of Artificial Intelligence in Echocardiography.人工智能在超声心动图中的作用。
Curr Cardiol Rep. 2020 Jul 30;22(9):99. doi: 10.1007/s11886-020-01329-7.

引用本文的文献

1
Artificial intelligence in cardiovascular practice.心血管实践中的人工智能
Nurse Pract. 2025 May 1;50(5):13-24. doi: 10.1097/01.NPR.0000000000000312. Epub 2025 Apr 24.
2
Artificial intelligence in cardiovascular practice.心血管实践中的人工智能
JAAPA. 2025 May 1;38(5):21-30. doi: 10.1097/01.JAA.0000000000000204. Epub 2025 Apr 24.
3
Trustworthy and ethical AI-enabled cardiovascular care: a rapid review.可信且合乎道德的人工智能赋能心血管护理:快速综述。
BMC Med Inform Decis Mak. 2024 Sep 4;24(1):247. doi: 10.1186/s12911-024-02653-6.
4
Artificial Intelligence in Congenital Heart Disease: Current State and Prospects.先天性心脏病中的人工智能:现状与前景
JACC Adv. 2022 Dec 14;1(5):100153. doi: 10.1016/j.jacadv.2022.100153. eCollection 2022 Dec.
5
How Will Artificial Intelligence Shape the Future of Decision-Making in Congenital Heart Disease?人工智能将如何塑造先天性心脏病决策的未来?
J Clin Med. 2024 May 20;13(10):2996. doi: 10.3390/jcm13102996.
6
Artificial Intelligence in Cardiology and Atherosclerosis in the Context of Precision Medicine: A Scoping Review.精准医学背景下心脏病学与动脉粥样硬化领域的人工智能:一项范围综述
Appl Bionics Biomech. 2024 Apr 30;2024:2991243. doi: 10.1155/2024/2991243. eCollection 2024.
7
Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling.基于儿科心电图的深度学习预测左心室功能障碍和重构。
Circulation. 2024 Mar 19;149(12):917-931. doi: 10.1161/CIRCULATIONAHA.123.067750. Epub 2024 Feb 5.
8
Using Artificial Intelligence for Rheumatic Heart Disease Detection by Echocardiography: Focus on Mitral Regurgitation.利用人工智能通过超声心动图进行风湿性心脏病检测:重点关注二尖瓣反流。
J Am Heart Assoc. 2024 Jan 16;13(2):e031257. doi: 10.1161/JAHA.123.031257.
9
Identifying Predictors of Psychological Problems Among Adolescents With Congenital Heart Disease for Referral to Psychological Care: A Pilot Study.识别先天性心脏病青少年心理问题的预测因素以便转介至心理护理:一项试点研究。
CJC Pediatr Congenit Heart Dis. 2022 Dec 12;2(1):3-11. doi: 10.1016/j.cjcpc.2022.12.001. eCollection 2023 Feb.
10
Non-invasive pediatric cardiac imaging-current status and further perspectives.无创儿科心脏成像——现状与未来展望
Mol Cell Pediatr. 2022 Dec 28;9(1):21. doi: 10.1186/s40348-022-00153-z.