Table 3.

Correlations with 95% confidence interval between visual field sensitivity by sectors and the corresponding minimum rim width relative to Bruch’s membrane opening deep learning predictions and actual spectral-domain optical coherence tomography values.

	Deep Learning BMO-MRW Prediction (95% CI)	SDOCT BMO-MRW (95% CI)
Temporal inferior	0.52 (0.42 – 0.63)	0.59 (0.49 – 0.70)
Temporal Superior	0.43 (0.32 – 0.54)	0.50 (0.39 – 0.61)
Temporal	0.38 (0.22 – 0.54)	0.41 (0.29 – 0.52)
Nasal Superior	0.40 (0.30 – 0.50)	0.42 (0.31 – 0.53)
Nasal Inferior	0.39 (0.28 – 0.50)	0.48 (0.37 – 0.60)
Nasal	0.36 (0.23– 0.50)	0.38 (0.27 – 0.50)

SDOCT = Spectral Domain-Optical Coherence Tomography; BMO-MRW = Minimum rim width relative to Bruch’s membrane opening; CI = Confidence Interval