人工智能在增强机械通气中的作用——展望未来。

IF 2.9 Q1 ANESTHESIOLOGY
Indian Journal of Anaesthesia Pub Date : 2025-07-01 Epub Date: 2025-06-12 DOI:10.4103/ija.ija_995_24
Neeraj Pal Singh, Masood Ali Mujawar, Akash Golani
{"title":"人工智能在增强机械通气中的作用——展望未来。","authors":"Neeraj Pal Singh, Masood Ali Mujawar, Akash Golani","doi":"10.4103/ija.ija_995_24","DOIUrl":null,"url":null,"abstract":"<p><p>This article explores recent advancements in the role of artificial intelligence (AI) in enhancing mechanical ventilation (MV), accentuating its potential to mitigate risks such as ventilator-induced lung injury, ventilator-associated pneumonia and asynchronies. The integration of AI, including machine learning, natural language processing and predictive analytics, into MV is reshaping the landscape of critical care, offering advanced solutions to enhance patient outcomes with real-time monitoring, personalised ventilation strategies, early detection of complications and also increased operational efficiency. Key practical issues surrounding the implementation of AI into existing clinical workflows, including data quality, data sharing and privacy, data standardisation, seamless integration with existing healthcare systems, transparency of algorithms, interoperability across multiple platforms, patient safety and addressing ethical concerns, remain. As we advance, a collaborative approach between AI and healthcare professionals will be essential to ensure optimal patient safety.</p>","PeriodicalId":13339,"journal":{"name":"Indian Journal of Anaesthesia","volume":"69 7","pages":"722-728"},"PeriodicalIF":2.9000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12244455/pdf/","citationCount":"0","resultStr":"{\"title\":\"Role of artificial intelligence in enhancing mechanical ventilation - A peek into the future.\",\"authors\":\"Neeraj Pal Singh, Masood Ali Mujawar, Akash Golani\",\"doi\":\"10.4103/ija.ija_995_24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This article explores recent advancements in the role of artificial intelligence (AI) in enhancing mechanical ventilation (MV), accentuating its potential to mitigate risks such as ventilator-induced lung injury, ventilator-associated pneumonia and asynchronies. The integration of AI, including machine learning, natural language processing and predictive analytics, into MV is reshaping the landscape of critical care, offering advanced solutions to enhance patient outcomes with real-time monitoring, personalised ventilation strategies, early detection of complications and also increased operational efficiency. Key practical issues surrounding the implementation of AI into existing clinical workflows, including data quality, data sharing and privacy, data standardisation, seamless integration with existing healthcare systems, transparency of algorithms, interoperability across multiple platforms, patient safety and addressing ethical concerns, remain. As we advance, a collaborative approach between AI and healthcare professionals will be essential to ensure optimal patient safety.</p>\",\"PeriodicalId\":13339,\"journal\":{\"name\":\"Indian Journal of Anaesthesia\",\"volume\":\"69 7\",\"pages\":\"722-728\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12244455/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indian Journal of Anaesthesia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/ija.ija_995_24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/6/12 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ANESTHESIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Anaesthesia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/ija.ija_995_24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/6/12 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ANESTHESIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

本文探讨了人工智能(AI)在增强机械通气(MV)方面的最新进展,强调了其降低呼吸机诱导的肺损伤、呼吸机相关肺炎和异步等风险的潜力。将包括机器学习、自然语言处理和预测分析在内的人工智能整合到MV中,正在重塑重症监护的格局,提供先进的解决方案,通过实时监测、个性化通气策略、早期发现并发症来提高患者的治疗效果,并提高运营效率。围绕在现有临床工作流程中实施人工智能的关键实际问题,包括数据质量、数据共享和隐私、数据标准化、与现有医疗保健系统的无缝集成、算法的透明度、跨多个平台的互操作性、患者安全和解决伦理问题,仍然存在。随着我们的发展,人工智能和医疗保健专业人员之间的协作方法对于确保最佳的患者安全至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of artificial intelligence in enhancing mechanical ventilation - A peek into the future.

This article explores recent advancements in the role of artificial intelligence (AI) in enhancing mechanical ventilation (MV), accentuating its potential to mitigate risks such as ventilator-induced lung injury, ventilator-associated pneumonia and asynchronies. The integration of AI, including machine learning, natural language processing and predictive analytics, into MV is reshaping the landscape of critical care, offering advanced solutions to enhance patient outcomes with real-time monitoring, personalised ventilation strategies, early detection of complications and also increased operational efficiency. Key practical issues surrounding the implementation of AI into existing clinical workflows, including data quality, data sharing and privacy, data standardisation, seamless integration with existing healthcare systems, transparency of algorithms, interoperability across multiple platforms, patient safety and addressing ethical concerns, remain. As we advance, a collaborative approach between AI and healthcare professionals will be essential to ensure optimal 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
CiteScore
4.20
自引率
44.80%
发文量
210
审稿时长
36 weeks
×
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