Artificial intelligence for stepwise diagnosis and monitoring of COVID-19

BACKGROUND: Main challenges for COVID-19 include the lack of a rapid diagnostic test, a suitable tool to monitor and predict a patient’s clinical course and an efficient way for data sharing among multicenters. We thus developed a novel artificial intelligence system based on deep learning (DL) and...

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Detalles Bibliográficos
Autores principales: Liang, Hengrui, Guo, Yuchen, Chen, Xiangru, Ang, Keng-Leong, He, Yuwei, Jiang, Na, Du, Qiang, Zeng, Qingsi, Lu, Ligong, Gao, Zebin, Li, Linduo, Li, Quanzheng, Nie, Fangxing, Ding, Guiguang, Huang, Gao, Chen, Ailan, Li, Yimin, Guan, Weijie, Sang, Ling, Xu, Yuanda, Chen, Huai, Chen, Zisheng, Li, Shiyue, Zhang, Nuofu, Chen, Ying, Huang, Danxia, Li, Run, Li, Jianfu, Cheng, Bo, Zhao, Yi, Li, Caichen, Xiong, Shan, Wang, Runchen, Liu, Jun, Wang, Wei, Huang, Jun, Cui, Fei, Xu, Tao, Lure, Fleming Y. M., Zhan, Meixiao, Huang, Yuanyi, Yang, Qiang, Dai, Qionghai, Liang, Wenhua, He, Jianxing, Zhong, Nanshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8731211/
https://www.ncbi.nlm.nih.gov/pubmed/34988656
http://dx.doi.org/10.1007/s00330-021-08334-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8731211/
https://www.ncbi.nlm.nih.gov/pubmed/34988656
http://dx.doi.org/10.1007/s00330-021-08334-6

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