Table 1.

A summary of notable works in the field of COVID-19 diagnosis using AI technologies.

Research	Application	Modality	Methodology
[18], [19], [20], [24], [26]	Diagnosis of COVID-19	Chest CT scan images	State-of-the-art CNN architectures (U-Net, AlexNet, VGG, Inception, ResNet, SqueezNet, DarkNet, ShuffleNet, Xception, MobileNet, DenseNet)
[23], [25], [28]	Diagnosis of COVID-19	Chest CT scan images	Custom CNN architecture
[31], [32]	Differentiate COVID-19 infections from other abnormalities as well as normal cases	Chest CT scan images	State-of-the-art CNN architectures (U-Net, AlexNet, VGG, Inception, ResNet, SqueezNet, DarkNet, ShuffleNet, Xception, MobileNet, DenseNet)
[37], [39]	Diagnosis of COVID-19	Chest X-ray images	State-of-the-art CNN architectures (U-Net, AlexNet, VGG, Inception, ResNet, SqueezNet, DarkNet, ShuffleNet, Xception, MobileNet, DenseNet)
[33], [40], [41], [43], [44], [47], [48], [49], [50], [55], [57]	Differentiate COVID-19 infections from other abnormalities as well as normal cases	Chest X-ray images	State-of-the-art CNN architectures (U-Net, AlexNet, VGG, Inception, ResNet, SqueezNet, DarkNet, ShuffleNet, Xception, MobileNet, DenseNet)
[34], [42], [46], [51], [54], [56], [58]	Diagnosis of COVID-19	Chest X-ray images	Custom CNN architecture
[53]	Differentiate COVID-19 infections from other abnormalities as well as normal cases	Chest X-ray images	Custom CNN architecture
[59], [62]	Diagnosis of COVID-19	Chest X-ray images, chest CT scan images	State-of-the-art CNN architectures (XCEPTION, VGG16, VGG19, RESNET, INCEPTIONV3 and MOBILENET)
[66], [67]	Diagnosis of COVID-19	Coughing sounds	Custom CNN architecture
[65]	Diagnosis of COVID-19	Coughing sounds, breathing sounds and voice	Long short-term memory (LSTM)