Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment

Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment

COVID-19 outbreak has put the whole world in an unprecedented difficult situation bringing life around the world to a frightening halt and claiming thousands of lives. Due to COVID-19's spread in 212 countries and territories and increasing numbers of infected cases and death tolls mounting to...

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Bibliographic Details
Main Authors: Mohammad Jamshidi, Ali Lalbakhsh, Jakub Talla, Zdenek Peroutka, Farimah Hadjilooei, Pedram Lalbakhsh, Morteza Jamshidi, Luigi La Spada, Mirhamed Mirmozafari, Mojgan Dehghani, Asal Sabet, Saeed Roshani, Sobhan Roshani, Nima Bayat-Makou, Bahare Mohamadzade, Zahra Malek, Alireza Jamshidi, Sarah Kiani, Hamed Hashemi-Dezaki, Wahab Mohyuddin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
big data
bioinformatics
biomedical informatics
COVID-19
deep learning
Online Access:https://ieeexplore.ieee.org/document/9115663/

Internet

https://ieeexplore.ieee.org/document/9115663/

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