Table 2.

Diagnostic Performance of the Machine-Learning Algorithm for Automated Evaluation of LVEF in Terms of its Ability to Identify Patients With Severely Reduced LV Function (EF ≤35%)

	Sensitivity	Specificity	NPV	PPV	Accuracy	κ
Auto EF	0.90	0.92	0.96	0.83	0.92	0.806
(95% CI)	(0.82–0.95)	(0.88–0.95)	(0.92–0.98)	(0.74–0.89)	(0.88–0.95)	(0.733–0.880)
Clinical reads	0.93	0.87	0.97	0.74	0.89	0.745
(95% CI)	(0.76–0.99)	(0.77–0.93)	(0.89–0.99)	(0.58–0.86)	(0.81–0.94)	(0.606–0.885)

Data in parentheses represent 95% CI. EF indicates ejection fraction; LV, left ventricular; NPV, indicates negative predictive value; and PPV, positive predictive value.