人工智能在心胸外科的应用。

Q3 Medicine Minerva cardioangiologica Pub Date : 2020-10-01 Epub Date: 2020-09-29 DOI:10.23736/S0026-4725.20.05235-4
Roger D Dias, Julie A Shah, Marco A Zenati
{"title":"人工智能在心胸外科的应用。","authors":"Roger D Dias, Julie A Shah, Marco A Zenati","doi":"10.23736/S0026-4725.20.05235-4","DOIUrl":null,"url":null,"abstract":"<p><p>The tremendous and rapid technological advances that humans have achieved in the last decade have definitely impacted how surgical tasks are performed in the operating room (OR). As a high-tech work environment, the contemporary OR has incorporated novel computational systems into the clinical workflow, aiming to optimize processes and support the surgical team. Artificial intelligence (AI) is increasingly important for surgical decision making to help address diverse sources of information, such as patient risk factors, anatomy, disease natural history, patient values and cost, and assist surgeons and patients to make better predictions regarding the consequences of surgical decisions. In this review, we discuss the current initiatives that are using AI in cardiothoracic surgery and surgical care in general. We also address the future of AI and how high-tech ORs will leverage human-machine teaming to optimize performance and enhance patient safety.</p>","PeriodicalId":18565,"journal":{"name":"Minerva cardioangiologica","volume":"68 5","pages":"532-538"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959017/pdf/nihms-1658490.pdf","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence in cardiothoracic surgery.\",\"authors\":\"Roger D Dias, Julie A Shah, Marco A Zenati\",\"doi\":\"10.23736/S0026-4725.20.05235-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The tremendous and rapid technological advances that humans have achieved in the last decade have definitely impacted how surgical tasks are performed in the operating room (OR). As a high-tech work environment, the contemporary OR has incorporated novel computational systems into the clinical workflow, aiming to optimize processes and support the surgical team. Artificial intelligence (AI) is increasingly important for surgical decision making to help address diverse sources of information, such as patient risk factors, anatomy, disease natural history, patient values and cost, and assist surgeons and patients to make better predictions regarding the consequences of surgical decisions. In this review, we discuss the current initiatives that are using AI in cardiothoracic surgery and surgical care in general. We also address the future of AI and how high-tech ORs will leverage human-machine teaming to optimize performance and enhance patient safety.</p>\",\"PeriodicalId\":18565,\"journal\":{\"name\":\"Minerva cardioangiologica\",\"volume\":\"68 5\",\"pages\":\"532-538\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959017/pdf/nihms-1658490.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Minerva cardioangiologica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23736/S0026-4725.20.05235-4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/9/29 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Minerva cardioangiologica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23736/S0026-4725.20.05235-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/9/29 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

摘要

人类在过去十年中取得的巨大而快速的技术进步无疑影响了手术室(OR)中外科手术任务的执行方式。作为一种高科技工作环境,当代手术室已将新型计算系统纳入临床工作流程,旨在优化流程并为手术团队提供支持。人工智能(AI)对手术决策的重要性与日俱增,它可以帮助处理各种信息来源,如患者风险因素、解剖结构、疾病自然史、患者价值观和成本,并帮助外科医生和患者更好地预测手术决策的后果。在这篇综述中,我们将讨论目前将人工智能应用于心胸外科手术和外科护理的总体举措。我们还探讨了人工智能的未来,以及高科技手术室将如何利用人机协作来优化性能和提高患者安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Artificial intelligence in cardiothoracic surgery.

The tremendous and rapid technological advances that humans have achieved in the last decade have definitely impacted how surgical tasks are performed in the operating room (OR). As a high-tech work environment, the contemporary OR has incorporated novel computational systems into the clinical workflow, aiming to optimize processes and support the surgical team. Artificial intelligence (AI) is increasingly important for surgical decision making to help address diverse sources of information, such as patient risk factors, anatomy, disease natural history, patient values and cost, and assist surgeons and patients to make better predictions regarding the consequences of surgical decisions. In this review, we discuss the current initiatives that are using AI in cardiothoracic surgery and surgical care in general. We also address the future of AI and how high-tech ORs will leverage human-machine teaming to optimize performance and enhance patient safety.

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
Minerva cardioangiologica
Minerva cardioangiologica CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
1.60
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: A Journal on Heart and Vascular Diseases.
期刊最新文献
Systolic, mean and pulse pressure values in patients with acute coronary syndrome: worth keeping an eye on. Instantaneous wave-free ratio-guided revascularization of non-culprit lesion in patients with ST-segment elevation myocardial infarction and multivessel coronary disease: design and rationale of the WAVE registry. Cannabis, health and prevention. The role of chronic obstructive pulmonary disease in acute coronary syndrome patients: a critical risk factor for lipid plaque burden? Left ventricular global longitudinal strain assessment in patients with Takotsubo Cardiomyopathy: a call for an echocardiography-based classification.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1