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3%, 95.6%, and 99.3%, respectively. In external validation, the AUC were 0.970, 0.997, and 0.997, respectively, with accuracy of 90.2%, 95.4%, and 95.9%, respectively, sensitivity of 80.1%, 93.4%, and 94.9%, respectively, and specificity of 97.6%, 97.2%, and 96.5%, respectively. Occlusion test showed that the DL model could successfully identify the pathologic regions most critical for detection. Our DL model demonstrated high accuracy and transparency in detection of OCT patterns of DME. These results emphasized the potential of arti

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