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In this study, we aimed to compare the efficacy of two types of non-invasive technologies for the detection of ocular pathologies and to identify the best among these technologies in terms of sensitivity and specificity. We also measured the delay of doctors while ordering referral to an ophthalmologist for further evaluation based on the symptoms and signs detected by the non-invasive technologies. In this study, the sensitivity of the NIR-SLO was higher than that of the SLO, while the specificity of the NIR-SLO was lower than that of the SLO. This result is similar to that of a previous study that compared the sensitivity and specificity of the two methods (sensitivity, 0.94–0.97; specificity, 0.83–0.96) \[[@pone.0220869.ref015]\].

The sensitivity and specificity of NIR-SLO were associated with the experience of the optometrist. Unlike the experimenter in the previous study \[[@pone.0220869.ref015]\], we were unable to adjust these parameters in advance of this experiment. Therefore, the precision and accuracy of the results were affected by the optometrist’s level of experience. In addition, the distributions of each pathologic condition were heterogeneous; thus, the sensitivity and specificity were heterogeneous.

Previous studies have reported that the sensitivities and specificities of the two methods were similar (sensitivity, 0.96–0.98; specificity, 0.87–0.96) \[[@pone.0220869.ref014],[@pone.0220869.ref015]\] or slightly higher (sensitivity, 0.89–0.94; specificity, 0.87–0.90) \[[@pone.0220869.ref016],[@pone.0220869.ref017]\].

In our study, we found a tendency towards a lower sensitivity of the SLO than that reported by previous studies. Several reasons may account for this finding. First, the SLO adopted in our study used only two-dimensional image data, whereas those in the previous studies used three-dimensional data. Second
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