Table 2.

Performance of the three deep learning models: (i) geographic atrophy model (‘GA model’), (ii) central geographic atrophy model (‘cGA’ model), and (iii) centrality detector model.

	GA detection		cGA detection from all eyes		cGA detection from eyes with GA
	GA model	Retinal specialists	cGA model	Retinal specialists	Centrality detector model	Retinal specialists
	(95% CI)	(95% CI)	(95% CI)	(95% CI)	(95% CI)	(95% CI)
Accuracy	0.965 (0.959, 0.971)	0.975 (0.971, 0.980)	0.966 (0.957, 0.975)	0.990 (0.987, 0.993)	0.762 (0.725, 0.799)	0.735 (0.445, 1.000)
Kappa	0.611 (0.533, 0.689)	0.438 (0.304, 0.571)	0.501 (0.451, 0.552)	0.344 (0.156, 0.532)	0.513 (0.442, 0.584)	0.533 (0.176, 0.891)
Sensitivity	0.692 (0.560, 0.825)	0.588 (0.468, 0.707)	0.763 (0.641, 0.885)	0.448 (0.255, 0.641)	0.782 (0.618, 0.945)	0.878 (0.722, 1.000)
Specificity	0.978 (0.970, 0.985)	0.982 (0.978, 0.985)	0.971 (0.960, 0.982)	0.993 (0.989, 0.996)	0.729 (0.543, 0.916)	0.703 (0.332, 1.000)
Precision	0.584 (0.491, 0.676)	0.368 (0.230, 0.505)	0.394 (0.341, 0.448)	0.296 (0.115, 0.477)	0.799 (0.710, 0.888)	0.626 (0.273, 0.979)