|
Review the related work to highlight the contributions and constraints of AI in fighting the COVID-19 pandemic |
[56]
|
|
|
Review related work to identify a roadmap of AI applications to fight against the pandemic |
[57]
|
|
|
Review the AI based techniques used in the CT and X-ray based medical imaging data acquisition, segmentation, and diagnosis to fight against the COVID-19 pandemic |
[25]
|
|
|
Review the articles focusing on AI in radiology and pandemic control to highlight the current status and common problems of AI-based systems to diagnosing the COVID-19 |
[63]
|
|
|
Synthesize the importance and performance of 12 different data mining and ML techniques to detect and diagnose the CoV family diseases, including MERS-CoV and SARS |
[64]
|
|
| Review Literature |
Examine the COVID-19 epidemic to depict how the modern AI and ML technologies have recently been employed to address the challenges during the outbreak |
[65]
|
10 |
|
Explore the importance of AI, ML, and deep-learning based techniques in speeding up the vaccination development |
[24]
|
|
|
Explore the significance of AI in drug repurposing for coronavirus diseases and propose an AI based model adopting different deep learning algorithms (RNN,CNN,DBN) for drug repurposing |
[54]
|
|
|
Review the AI techniques for detecting COVID-19, classifying COVID-19 medical images patients, and propose a method for evaluating and benchmarking AI techniques suitable for detection and classification of COVID-19 medical images |
[66]
|
|
|
Explore three technology based initiatives for fighting with COVID-19, including AI based search tools, COVID-19-focused datasets, and the contact tracing mobile applications |
[67]
|
|
| Editorial |
Highlight how AI-based solutions may assist in fighting against the COVID-19 pandemic |
[55]
|
2 |
|
Review existing works, current efforts, and potential work ideas to fight against COVID-19 using AI, ML algorithms, deep learning, and neural networks. |
[58]
|
|
|
Highlight the needs of AI and methods of data sharing via smart city networks for better monitoring and management of urban health during the COVID-19 outbreak |
[59]
|
|
| Perspective |
Discussed the importance of active learning based AI tools for coronavirus outbreak. |
[60]
|
4 |
|
Introduce AI and Blockchain and suggest how they can be used to effectively help the community with equipment and donations |
[61]
|
|
|
Highlight the utility of evidence-based prediction tools/models in a number of clinical settings to fight the COVID-19 pandemic |
[62]
|
|
