Table 1. Summary of existing studies.

Objectives	Data	Method	Results	Reference(s)
GGOs segmentation or detection	Non-COVID-19 CT	Level Set	Segmentation accuracy not reported	[13]
		k-Nearest Neighbor	3.70% Mean error	[14]
	COVID-19 CT	Manual approach	~36% Error rate	[15]
			GGOs detected manually	[16]
		MSD-Net	74.22% Dice similarity (DS)	[17]
		DASC-Net	76.33% DS	[18]
Risk Prediction	COVID-19 Clinical data	Neural Network	77.6% accuracy	[19]
			97% Area under the curve	[20]
Point cloud and PointNet/PointNet++	Non-COVID-19 data	GRNet	59.1% mAP@0.25 and 39.1% mAP @0.5 on ScanNetV2 dataset	[21]