人工智能改善儿科重症监护病房脓毒症预后的机遇与挑战

IF 3.1 4区 医学 Q2 INFECTIOUS DISEASES Current Infectious Disease Reports Pub Date : 2023-10-31 DOI:10.1007/s11908-023-00818-4
Abdullah Tarik Aslan, Budi Permana, Patrick N. A. Harris, Kuban D. Naidoo, Michael A. Pienaar, Adam D. Irwin
{"title":"人工智能改善儿科重症监护病房脓毒症预后的机遇与挑战","authors":"Abdullah Tarik Aslan, Budi Permana, Patrick N. A. Harris, Kuban D. Naidoo, Michael A. Pienaar, Adam D. Irwin","doi":"10.1007/s11908-023-00818-4","DOIUrl":null,"url":null,"abstract":"Abstract Purpose of Review To describe existing applications of artificial intelligence (AI) in sepsis management and the opportunities and challenges associated with its implementation in the paediatric intensive care unit. Recent Findings Over the last decade, significant advances have occurred in the use of AI techniques, particularly in relation to medical image analysis. Increasingly, these techniques are being applied to a broad array of datasets. The availability of both structured and unstructured data from electronic health records, omics data and digital technologies (for example, portable sensors) is rapidly extending the range of applications for AI. These techniques offer the exciting potential to improve the recognition of sepsis and to help us understand the pathophysiological pathways and therapeutic targets of sepsis. Summary Although AI has great potential to improve sepsis management in children, significant challenges need to be overcome before it can be successfully implemented to change healthcare delivery.","PeriodicalId":48839,"journal":{"name":"Current Infectious Disease Reports","volume":"27 5","pages":"0"},"PeriodicalIF":3.1000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Opportunities and Challenges for Artificial Intelligence to Improve Sepsis Outcomes in the Paediatric Intensive Care Unit\",\"authors\":\"Abdullah Tarik Aslan, Budi Permana, Patrick N. A. Harris, Kuban D. Naidoo, Michael A. Pienaar, Adam D. Irwin\",\"doi\":\"10.1007/s11908-023-00818-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Purpose of Review To describe existing applications of artificial intelligence (AI) in sepsis management and the opportunities and challenges associated with its implementation in the paediatric intensive care unit. Recent Findings Over the last decade, significant advances have occurred in the use of AI techniques, particularly in relation to medical image analysis. Increasingly, these techniques are being applied to a broad array of datasets. The availability of both structured and unstructured data from electronic health records, omics data and digital technologies (for example, portable sensors) is rapidly extending the range of applications for AI. These techniques offer the exciting potential to improve the recognition of sepsis and to help us understand the pathophysiological pathways and therapeutic targets of sepsis. Summary Although AI has great potential to improve sepsis management in children, significant challenges need to be overcome before it can be successfully implemented to change healthcare delivery.\",\"PeriodicalId\":48839,\"journal\":{\"name\":\"Current Infectious Disease Reports\",\"volume\":\"27 5\",\"pages\":\"0\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2023-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Infectious Disease Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s11908-023-00818-4\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Infectious Disease Reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11908-023-00818-4","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0

摘要

摘要综述的目的描述人工智能(AI)在败血症管理中的现有应用及其在儿科重症监护病房实施的机遇和挑战。在过去十年中,人工智能技术的使用取得了重大进展,特别是在医学图像分析方面。越来越多地,这些技术被应用于广泛的数据集。来自电子健康记录、组学数据和数字技术(例如便携式传感器)的结构化和非结构化数据的可用性正在迅速扩大人工智能的应用范围。这些技术提供了令人兴奋的潜力,以提高对败血症的认识,并帮助我们了解败血症的病理生理途径和治疗靶点。尽管人工智能在改善儿童败血症管理方面具有巨大潜力,但在成功实施以改变医疗保健服务之前,还需要克服重大挑战。
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
The Opportunities and Challenges for Artificial Intelligence to Improve Sepsis Outcomes in the Paediatric Intensive Care Unit
Abstract Purpose of Review To describe existing applications of artificial intelligence (AI) in sepsis management and the opportunities and challenges associated with its implementation in the paediatric intensive care unit. Recent Findings Over the last decade, significant advances have occurred in the use of AI techniques, particularly in relation to medical image analysis. Increasingly, these techniques are being applied to a broad array of datasets. The availability of both structured and unstructured data from electronic health records, omics data and digital technologies (for example, portable sensors) is rapidly extending the range of applications for AI. These techniques offer the exciting potential to improve the recognition of sepsis and to help us understand the pathophysiological pathways and therapeutic targets of sepsis. Summary Although AI has great potential to improve sepsis management in children, significant challenges need to be overcome before it can be successfully implemented to change healthcare delivery.
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
Current Infectious Disease Reports
Current Infectious Disease Reports INFECTIOUS DISEASES-
CiteScore
6.70
自引率
0.00%
发文量
19
期刊介绍: This journal intends to provide clear, insightful, balanced contributions by international experts that review the most important, recently published clinical findings related to the diagnosis, treatment, management, and prevention of infectious disease. We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas, such as HIV/AIDS, sexually transmitted diseases, tropical and travel medicine, and urinary tract infections. Section Editors, in turn, select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists.
期刊最新文献
Small Intestinal Bacterial Overgrowth Nontuberculous Mycobacteria Pulmonary Infection in Children with Cystic Fibrosis Gastrointestinal Manifestation of MPox Climate Change and Meningoencephalitis in the Americas: A Brewing Storm Norovirus Infection in Transplant Recipients
×
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