• 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

Progress and prospects for artificial intelligence in clinical practice: learning from COVID-19.

作者信息

Ferrara Pietro, Battiato Sebastiano, Polosa Riccardo

机构信息

Center for Public Health Research, University of Milan Bicocca, Monza, Italy.

IRCCS Istituto Auxologico Italiano, Milan, Italy.

出版信息

Intern Emerg Med. 2022 Oct;17(7):1855-1857. doi: 10.1007/s11739-022-03080-z. Epub 2022 Sep 5.

DOI:10.1007/s11739-022-03080-z
PMID:36063262
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9442555/
Abstract
摘要

相似文献

1
Progress and prospects for artificial intelligence in clinical practice: learning from COVID-19.人工智能在临床实践中的进展与前景:从 COVID-19 中汲取经验
Intern Emerg Med. 2022 Oct;17(7):1855-1857. doi: 10.1007/s11739-022-03080-z. Epub 2022 Sep 5.
2
Artificial intelligence and machine learning responses to COVID-19 related inquiries.人工智能和机器学习对与 COVID-19 相关查询的响应。
J Med Eng Technol. 2023 Aug;47(6):301-320. doi: 10.1080/03091902.2024.2321846. Epub 2024 Apr 16.
3
How can artificial intelligence be utilized for de novo drug design against COVID-19 (SARS-CoV-2)?人工智能如何用于针对2019冠状病毒病(严重急性呼吸综合征冠状病毒2)的新药设计?
Expert Opin Drug Discov. 2023 Jul-Dec;18(10):1061-1064. doi: 10.1080/17460441.2023.2236930. Epub 2023 Jul 17.
4
Artificial intelligence and machine learning to fight COVID-19.利用人工智能和机器学习抗击新冠疫情。
Physiol Genomics. 2020 Apr 1;52(4):200-202. doi: 10.1152/physiolgenomics.00029.2020. Epub 2020 Mar 27.
5
The Role of Artificial Intelligence and Machine Learning Amid the COVID-19 Pandemic: What Lessons Are We Learning on 4IR and the Sustainable Development Goals.人工智能和机器学习在 COVID-19 大流行中的作用:我们从第四次工业革命和可持续发展目标中学到了什么。
Int J Environ Res Public Health. 2022 Feb 8;19(3):1879. doi: 10.3390/ijerph19031879.
6
The Role of Artificial Intelligence and Machine Learning During the Covid-19 Pandemic: A Review.人工智能和机器学习在新冠疫情期间的作用:综述
Stud Health Technol Inform. 2022 Jun 29;295:28-32. doi: 10.3233/SHTI220651.
7
Artificial intelligence in the diagnosis of COVID-19: challenges and perspectives.人工智能在COVID-19诊断中的应用:挑战与展望
Int J Biol Sci. 2021 Apr 10;17(6):1581-1587. doi: 10.7150/ijbs.58855. eCollection 2021.
8
Utility of Artificial Intelligence Amidst the COVID 19 Pandemic: A Review.人工智能在 COVID-19 大流行期间的应用:综述。
J Med Syst. 2020 Aug 1;44(9):156. doi: 10.1007/s10916-020-01617-3.
9
Emergence of New Disease: How Can Artificial Intelligence Help?新发疾病的出现:人工智能如何提供帮助?
Trends Mol Med. 2020 Jul;26(7):627-629. doi: 10.1016/j.molmed.2020.04.007. Epub 2020 May 3.
10
Prediction Models for Public Health Containment Measures on COVID-19 Using Artificial Intelligence and Machine Learning: A Systematic Review.使用人工智能和机器学习对 COVID-19 进行公共卫生控制措施的预测模型:系统评价。
Int J Environ Res Public Health. 2021 Apr 23;18(9):4499. doi: 10.3390/ijerph18094499.

引用本文的文献

1
Improving prediction of COVID-19 mortality using machine learning in the Spanish SEMI-COVID-19 registry.利用西班牙 SEMI-COVID-19 注册研究中的机器学习改进对 COVID-19 死亡率的预测。
Intern Emerg Med. 2023 Sep;18(6):1711-1722. doi: 10.1007/s11739-023-03338-0. Epub 2023 Jun 22.

本文引用的文献

1
COVID-19 ICU mortality prediction: a machine learning approach using SuperLearner algorithm.新型冠状病毒肺炎重症监护病房死亡率预测:一种使用超级学习器算法的机器学习方法。
J Anesth Analg Crit Care. 2021 Sep 1;1(1):3. doi: 10.1186/s44158-021-00002-x.
2
Mortality predictors in patients with COVID-19 pneumonia: a machine learning approach using eXtreme Gradient Boosting model.COVID-19 肺炎患者的死亡率预测因子:使用极端梯度提升模型的机器学习方法。
Intern Emerg Med. 2022 Oct;17(7):1929-1939. doi: 10.1007/s11739-022-03033-6. Epub 2022 Sep 13.
3
Using machine learning to impact on long-term clinical care: principles, challenges, and practicalities.利用机器学习对长期临床护理产生影响:原则、挑战与实际应用。
Pediatr Res. 2023 Jan;93(2):324-333. doi: 10.1038/s41390-022-02194-6. Epub 2022 Jul 29.
4
Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records.应用时间序列分类对电子健康记录进行分析,预测 COVID-19 患者的结局。
BMC Med Inform Decis Mak. 2022 Jul 17;22(1):187. doi: 10.1186/s12911-022-01931-5.
5
Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning algorithms.超越偏见与歧视:重新定义医疗保健机器学习算法中公平性的人工智能伦理原则。
AI Soc. 2023;38(2):549-563. doi: 10.1007/s00146-022-01455-6. Epub 2022 May 21.
6
Response to BNT162b2 mRNA COVID-19 vaccine among healthcare workers in Italy: a 3-month follow-up.意大利医护人员对 BNT162b2 mRNA COVID-19 疫苗的反应:3 个月随访。
Intern Emerg Med. 2022 Mar;17(2):481-486. doi: 10.1007/s11739-021-02857-y. Epub 2021 Oct 12.
7
Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features.利用计算机断层扫描得出的肺部和血管特征,通过机器学习预测新冠病毒肺炎患者的院内死亡率
J Pers Med. 2021 Jun 3;11(6):501. doi: 10.3390/jpm11060501.
8
Analysis of the time evolution of COVID-19 lethality during the first epidemic wave in Italy.分析意大利首次疫情期间 COVID-19 致死率的时间演变。
Acta Biomed. 2021 May 12;92(2):e2021171. doi: 10.23750/abm.v92i2.11149.
9
Machine Learning: Algorithms, Real-World Applications and Research Directions.机器学习:算法、实际应用与研究方向。
SN Comput Sci. 2021;2(3):160. doi: 10.1007/s42979-021-00592-x. Epub 2021 Mar 22.
10
Modeling the Novel Coronavirus (SARS-CoV-2) Outbreak in Sicily, Italy.模拟意大利西西里岛的新型冠状病毒(SARS-CoV-2)爆发。
Int J Environ Res Public Health. 2020 Jul 9;17(14):4964. doi: 10.3390/ijerph17144964.