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Artificial intelligence-based approaches for COVID-19 patient management.
Lan, Lan; Sun, Wenbo; Xu, Dan; Yu, Minhua; Xiao, Feng; Hu, Huijuan; Xu, Haibo; Wang, Xinghuan.
  • Lan L; Department of Radiology, Zhongnan Hospital of Wuhan University, No. 169 Donghu Road, Wuchang District, Wuhan, Hunan 430071, China.
  • Sun W; Department of Radiology, Zhongnan Hospital of Wuhan University, No. 169 Donghu Road, Wuchang District, Wuhan, Hunan 430071, China.
  • Xu D; Department of Radiology, Zhongnan Hospital of Wuhan University, No. 169 Donghu Road, Wuchang District, Wuhan, Hunan 430071, China.
  • Yu M; Department of Radiology, Zhongnan Hospital of Wuhan University, No. 169 Donghu Road, Wuchang District, Wuhan, Hunan 430071, China.
  • Xiao F; Department of Radiology, Zhongnan Hospital of Wuhan University, No. 169 Donghu Road, Wuchang District, Wuhan, Hunan 430071, China.
  • Hu H; Department of Radiology, Zhongnan Hospital of Wuhan University, No. 169 Donghu Road, Wuchang District, Wuhan, Hunan 430071, China.
  • Xu H; Department of Radiology, Zhongnan Hospital of Wuhan University, No. 169 Donghu Road, Wuchang District, Wuhan, Hunan 430071, China.
  • Wang X; Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, No. 169 Donghu Road, Wuchang District, Wuhan, Hunan 430071, China.
Intell Med ; 1(1): 10-15, 2021 May.
Article in English | MEDLINE | ID: covidwho-1263293
ABSTRACT
During the highly infectious pandemic of coronavirus disease 2019 (COVID-19), artificial intelligence (AI) has provided support in addressing challenges and accelerating achievements in controlling this public health crisis. It has been applied in fields varying from outbreak forecasting to patient management and drug/vaccine development. In this paper, we specifically review the current status of AI-based approaches for patient management. Limitations and challenges still exist, and further needs are highlighted.
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Full text: Available Collection: International databases Database: MEDLINE Topics: Vaccines Language: English Journal: Intell Med Year: 2021 Document Type: Article Affiliation country: J.imed.2021.05.005

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Full text: Available Collection: International databases Database: MEDLINE Topics: Vaccines Language: English Journal: Intell Med Year: 2021 Document Type: Article Affiliation country: J.imed.2021.05.005