Before revision:  Main outcome and Measures: Accuracy in the form of sensitivity and specificity of the AI mobile app compared against assessments of board-certified retina specialists .
After revision:  Main outcome and Measures: Accuracy in the form of sensitivity and specificity of the AI mobile App was determined by comparing its assessments to those of the retina specialists. At the time of this submission, five centers have completed their initial studies. This consists of a total of 283 OCT scans of which 155 had either ME or SRF ("wet") and 128 did not ("dry"). The sensitivity ranged from 82.5\% to 97\% with a weighted average of 89.3\%. The specificity ranged from 52\% to 100\% with a weighted average of 81.23\%. CONCLUSION: Cloud-based Mobile AI technology is feasible for the detection retinal disease. In particular, Fluid Intelligence (alpha version), is sufficiently accurate as a screening tool for SRF and ME, especially in underserved areas. Further studies and technology development is needed .