Table 2.

Summary of clinical, subjective, and quantitative features from prototype in patients with best predictive area under the curve for differentiating those with and without ICU admission and those with recovery versus death from COVID-19 pneumonia. All AUCs were statistically significant (p = 0.04–< 0.0001)

		Site A			Site B
	Features	Best subset	AUC	95% CI	Best subset	AUC	95% CI
With vs. without ICU admission	Radiologists	Subjective severity score	0.77	0.77–0.81	Subjective severity score	0.69	0.69–0.74
	AI	Volume of opacity + percentage of high opacity	0.82	0.79–0.82	Opacity score + percentage of high opacity	0.76	0.73–0.79
	Clinical	WBC count	0.64	0.64–0.69	Patient age	0.68	0.68
	Clinical + radiologists	Subjective severity score	0.77	0.77–0.81	Subjective severity score + patient age	0.76	0.7–0.77
	Clinical + AI	Volume of opacity + percentage of high opacity	0.82	0.79–0.82	Opacity score + percentage of high opacity + patient age	0.8	0.73–0.83
Recovered vs. deceased	Radiologists	Subjective severity score	0.68	0.67–0.68	Subjective severity score	0.68	0.67–0.68
	AI	Volume of opacity	0.72	0.7–0.72	Percentage of high opacity + volume of opacity	0.77	0.7–0.84
	Clinical	LDH	0.69	0.69	No features selected	-*	-
	Clinical + radiologists	Subjective severity score + LDH	0.72	0.69–0.73	Subjective severity score + patient age	0.76	0.68–0.8
	Clinical + AI	Volume of opacity + LDH	0.74	0.71–0.77	Percentage of high opacity + patient age	0.8	0.69–0.87

^*p-value > 0.06 (AUC 0.71)