人工智能增强超声心动图在心血管疾病管理中的应用

IF 44.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Peder L. Myhre, Bjørnar Grenne, Federico M. Asch, Victoria Delgado, Rohan Khera, Stéphane Lafitte, Roberto M. Lang, Patricia A. Pellikka, Partho P. Sengupta, Sreekanth Vemulapalli, Carolyn S. P. Lam
{"title":"人工智能增强超声心动图在心血管疾病管理中的应用","authors":"Peder L. Myhre, Bjørnar Grenne, Federico M. Asch, Victoria Delgado, Rohan Khera, Stéphane Lafitte, Roberto M. Lang, Patricia A. Pellikka, Partho P. Sengupta, Sreekanth Vemulapalli, Carolyn S. P. Lam","doi":"10.1038/s41569-025-01197-0","DOIUrl":null,"url":null,"abstract":"<p>Artificial intelligence (AI) is transforming echocardiography, ushering in an era of improved diagnostic precision, efficiency and patient care. In this Review, we present an in-depth exploration of AI applications in echocardiography, highlighting the latest advances, practical implementations and future directions. We discuss the integration of AI throughout the echocardiographic workflow, from image acquisition and analysis to interpretation. We outline the potential of AI to automate routine measurements and calculations, enable task shifting, recognize disease-specific patterns and uncover new phenogroups that might surpass current diagnostic classifications. Moreover, we address the aspects needed to create trustworthy AI systems, through careful validation, navigating regulatory requirements and upholding ethical standards, thereby presenting a balanced perspective on the advantages and limitations of this rapidly evolving technology. Through an examination of current AI applications, clinical studies and technological breakthroughs, we offer a comprehensive understanding of the evolving role of AI in the future of echocardiography and its capacity to advance cardiovascular care, while also acknowledging the current limitations of the widespread clinical implementation of AI-supported echocardiography.</p>","PeriodicalId":18976,"journal":{"name":"Nature Reviews Cardiology","volume":"16 1","pages":""},"PeriodicalIF":44.2000,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence-enhanced echocardiography in cardiovascular disease management\",\"authors\":\"Peder L. Myhre, Bjørnar Grenne, Federico M. Asch, Victoria Delgado, Rohan Khera, Stéphane Lafitte, Roberto M. Lang, Patricia A. Pellikka, Partho P. Sengupta, Sreekanth Vemulapalli, Carolyn S. P. Lam\",\"doi\":\"10.1038/s41569-025-01197-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Artificial intelligence (AI) is transforming echocardiography, ushering in an era of improved diagnostic precision, efficiency and patient care. In this Review, we present an in-depth exploration of AI applications in echocardiography, highlighting the latest advances, practical implementations and future directions. We discuss the integration of AI throughout the echocardiographic workflow, from image acquisition and analysis to interpretation. We outline the potential of AI to automate routine measurements and calculations, enable task shifting, recognize disease-specific patterns and uncover new phenogroups that might surpass current diagnostic classifications. Moreover, we address the aspects needed to create trustworthy AI systems, through careful validation, navigating regulatory requirements and upholding ethical standards, thereby presenting a balanced perspective on the advantages and limitations of this rapidly evolving technology. Through an examination of current AI applications, clinical studies and technological breakthroughs, we offer a comprehensive understanding of the evolving role of AI in the future of echocardiography and its capacity to advance cardiovascular care, while also acknowledging the current limitations of the widespread clinical implementation of AI-supported echocardiography.</p>\",\"PeriodicalId\":18976,\"journal\":{\"name\":\"Nature Reviews Cardiology\",\"volume\":\"16 1\",\"pages\":\"\"},\"PeriodicalIF\":44.2000,\"publicationDate\":\"2025-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Reviews Cardiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41569-025-01197-0\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Reviews Cardiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41569-025-01197-0","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

人工智能(AI)正在改变超声心动图,开创了一个提高诊断精度、效率和患者护理的时代。本文对人工智能在超声心动图中的应用进行了深入的探讨,重点介绍了人工智能在超声心动图中的最新进展、实际应用和未来发展方向。我们将讨论人工智能在超声心动图工作流程中的集成,从图像采集和分析到解释。我们概述了人工智能在自动化常规测量和计算、实现任务转移、识别疾病特定模式和发现可能超越当前诊断分类的新表型组方面的潜力。此外,我们通过仔细验证、遵循监管要求和坚持道德标准,解决了创建值得信赖的人工智能系统所需的各个方面,从而对这种快速发展的技术的优势和局限性提出了平衡的观点。通过对当前人工智能应用、临床研究和技术突破的研究,我们全面了解了人工智能在超声心动图的未来发展中的作用及其推进心血管护理的能力,同时也承认了人工智能支持的超声心动图在临床广泛应用的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Artificial intelligence-enhanced echocardiography in cardiovascular disease management

Artificial intelligence-enhanced echocardiography in cardiovascular disease management

Artificial intelligence (AI) is transforming echocardiography, ushering in an era of improved diagnostic precision, efficiency and patient care. In this Review, we present an in-depth exploration of AI applications in echocardiography, highlighting the latest advances, practical implementations and future directions. We discuss the integration of AI throughout the echocardiographic workflow, from image acquisition and analysis to interpretation. We outline the potential of AI to automate routine measurements and calculations, enable task shifting, recognize disease-specific patterns and uncover new phenogroups that might surpass current diagnostic classifications. Moreover, we address the aspects needed to create trustworthy AI systems, through careful validation, navigating regulatory requirements and upholding ethical standards, thereby presenting a balanced perspective on the advantages and limitations of this rapidly evolving technology. Through an examination of current AI applications, clinical studies and technological breakthroughs, we offer a comprehensive understanding of the evolving role of AI in the future of echocardiography and its capacity to advance cardiovascular care, while also acknowledging the current limitations of the widespread clinical implementation of AI-supported echocardiography.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Nature Reviews Cardiology
Nature Reviews Cardiology 医学-心血管系统
CiteScore
53.10
自引率
0.60%
发文量
143
审稿时长
6-12 weeks
期刊介绍: Nature Reviews Cardiology aims to be the go-to source for reviews and commentaries in the scientific and clinical communities it serves. Focused on providing authoritative and accessible articles enriched with clear figures and tables, the journal strives to offer unparalleled service to authors, referees, and readers, maximizing the usefulness and impact of each publication. It covers a broad range of content types, including Research Highlights, Comments, News & Views, Reviews, Consensus Statements, and Perspectives, catering to practising cardiologists and cardiovascular research scientists. Authored by renowned clinicians, academics, and researchers, the content targets readers in the biological and medical sciences, ensuring accessibility across various disciplines. In-depth Reviews offer up-to-date information, while Consensus Statements provide evidence-based recommendations. Perspectives and News & Views present topical discussions and opinions, and the Research Highlights section filters primary research from cardiovascular and general medical journals. As part of the Nature Reviews portfolio, Nature Reviews Cardiology maintains high standards and a wide reach.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信