Artificial intelligence-based approaches for COVID-19 patient management

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...

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Detalles Bibliográficos
Autores principales: Lan, Lan, Sun, Wenbo, Xu, Dan, Yu, Minhua, Xiao, Feng, Hu, Huijuan, Xu, Haibo, Wang, Xinghuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. on behalf of Chinese Medical Association. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189732/
https://www.ncbi.nlm.nih.gov/pubmed/34447600
http://dx.doi.org/10.1016/j.imed.2021.05.005
Descripción
Sumario: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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