Suppr超能文献

用于2019冠状病毒病大流行的人工智能(AI)应用程序。

Artificial Intelligence (AI) applications for COVID-19 pandemic.

作者信息

Vaishya Raju, Javaid Mohd, Khan Ibrahim Haleem, Haleem Abid

机构信息

Department of Orthopaedics, Indraprastha Apollo Hospital, SaritaVihar, Mathura Road, 110076, New Delhi, India.

Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India.

出版信息

Diabetes Metab Syndr. 2020 Jul-Aug;14(4):337-339. doi: 10.1016/j.dsx.2020.04.012. Epub 2020 Apr 14.

Abstract

BACKGROUND AND AIMS

Healthcare delivery requires the support of new technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight and look ahead against the new diseases. We aim to review the role of AI as a decisive technology to analyze, prepare us for prevention and fight with COVID-19 (Coronavirus) and other pandemics.

METHODS

The rapid review of the literature is done on the database of Pubmed, Scopus and Google Scholar using the keyword of COVID-19 or Coronavirus and Artificial Intelligence or AI. Collected the latest information regarding AI for COVID-19, then analyzed the same to identify its possible application for this disease.

RESULTS

We have identified seven significant applications of AI for COVID-19 pandemic. This technology plays an important role to detect the cluster of cases and to predict where this virus will affect in future by collecting and analyzing all previous data.

CONCLUSIONS

Healthcare organizations are in an urgent need for decision-making technologies to handle this virus and help them in getting proper suggestions in real-time to avoid its spread. AI works in a proficient way to mimic like human intelligence. It may also play a vital role in understanding and suggesting the development of a vaccine for COVID-19. This result-driven technology is used for proper screening, analyzing, prediction and tracking of current patients and likely future patients. The significant applications are applied to tracks data of confirmed, recovered and death cases.

摘要

背景与目的

医疗服务需要人工智能(AI)、物联网(IoT)、大数据和机器学习等新技术的支持,以应对新疾病并展望未来。我们旨在综述人工智能作为一种决定性技术在分析、让我们为预防和抗击2019冠状病毒病(COVID-19)及其他大流行病做准备方面的作用。

方法

在PubMed、Scopus和谷歌学术数据库上使用COVID-19或冠状病毒以及人工智能或AI作为关键词对文献进行快速综述。收集有关COVID-19的人工智能的最新信息,然后对其进行分析以确定其在这种疾病上的可能应用。

结果

我们确定了人工智能在COVID-19大流行中的七个重要应用。这项技术通过收集和分析所有以前的数据,在检测病例集群以及预测该病毒未来将在何处产生影响方面发挥着重要作用。

结论

医疗保健组织迫切需要决策技术来应对这种病毒,并帮助他们实时获得适当建议以避免其传播。人工智能以熟练的方式模拟人类智能。它在理解和建议开发COVID-19疫苗方面也可能发挥至关重要的作用。这种以结果为导向的技术用于对当前患者和可能的未来患者进行适当的筛查、分析、预测和跟踪。这些重要应用被用于跟踪确诊、康复和死亡病例的数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9625/7195043/0e06f47678e2/gr1_lrg.jpg

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