人工智能时代的新冠肺炎:黑天鹅事件?

Fahad S Mohammed, Hisham Qadri, S. Mohammed
{"title":"人工智能时代的新冠肺炎:黑天鹅事件?","authors":"Fahad S Mohammed, Hisham Qadri, S. Mohammed","doi":"10.21037/jmai-21-23","DOIUrl":null,"url":null,"abstract":"of COVID-19 (3). The large amount of social computational data generated by the pandemic may lead to breakthroughs in AI that can greatly alter human behavior. Newer COVID-19 variants and behavioral changes are causing resurgence of the pandemic. AI can use social computational data to devise novel non-pharmaceutical interventions to prevent newer outbreaks. “How we feel” a web and mobile application that longitudinally tracks COVID-19 symptoms, behavior and testing, can predict likely COVID-19 positive individuals and outbreaks (4). Genomic, structural data and outcomes can be used to make COVID-19 simulations, predict mutations, outbreaks and guide therapy leading to drug discovery, drug repurposing and precision medicine (5). Multiple applications for predicting severity using imaging and lab data in real time have been developed and have been externally validated (6). These applications have played a pivotal role in the management of the pandemic.","PeriodicalId":73815,"journal":{"name":"Journal of medical artificial intelligence","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"COVID-19 in the era of artificial intelligence: a black swan event?\",\"authors\":\"Fahad S Mohammed, Hisham Qadri, S. Mohammed\",\"doi\":\"10.21037/jmai-21-23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"of COVID-19 (3). The large amount of social computational data generated by the pandemic may lead to breakthroughs in AI that can greatly alter human behavior. Newer COVID-19 variants and behavioral changes are causing resurgence of the pandemic. AI can use social computational data to devise novel non-pharmaceutical interventions to prevent newer outbreaks. “How we feel” a web and mobile application that longitudinally tracks COVID-19 symptoms, behavior and testing, can predict likely COVID-19 positive individuals and outbreaks (4). Genomic, structural data and outcomes can be used to make COVID-19 simulations, predict mutations, outbreaks and guide therapy leading to drug discovery, drug repurposing and precision medicine (5). Multiple applications for predicting severity using imaging and lab data in real time have been developed and have been externally validated (6). These applications have played a pivotal role in the management of the pandemic.\",\"PeriodicalId\":73815,\"journal\":{\"name\":\"Journal of medical artificial intelligence\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of medical artificial intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21037/jmai-21-23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of medical artificial intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21037/jmai-21-23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

(3)大流行产生的大量社会计算数据可能会导致人工智能的突破,从而极大地改变人类的行为。新的COVID-19变体和行为变化正在导致大流行死灰复燃。人工智能可以利用社会计算数据设计新的非药物干预措施,以防止新的疫情爆发。“我们的感受”是一个网络和移动应用程序,可以纵向跟踪COVID-19的症状、行为和测试,可以预测可能的COVID-19阳性个体和疫情(4)。基因组、结构数据和结果可用于模拟COVID-19,预测突变、疫情和指导治疗,从而发现药物。药物再利用和精准医疗(5)。利用成像和实验室数据实时预测严重程度的多种应用已经开发出来,并已得到外部验证(6)。这些应用在大流行的管理中发挥了关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
COVID-19 in the era of artificial intelligence: a black swan event?
of COVID-19 (3). The large amount of social computational data generated by the pandemic may lead to breakthroughs in AI that can greatly alter human behavior. Newer COVID-19 variants and behavioral changes are causing resurgence of the pandemic. AI can use social computational data to devise novel non-pharmaceutical interventions to prevent newer outbreaks. “How we feel” a web and mobile application that longitudinally tracks COVID-19 symptoms, behavior and testing, can predict likely COVID-19 positive individuals and outbreaks (4). Genomic, structural data and outcomes can be used to make COVID-19 simulations, predict mutations, outbreaks and guide therapy leading to drug discovery, drug repurposing and precision medicine (5). Multiple applications for predicting severity using imaging and lab data in real time have been developed and have been externally validated (6). These applications have played a pivotal role in the management of the pandemic.
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
2.30
自引率
0.00%
发文量
0
×
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:481959085
Book学术官方微信