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On the validation set, all class-specific estimates of sensitivity and specificity exceeded 98%. On the test set, the DL model achieved a sensitivity of 99.0% (95% confidence interval: 94.5\u2013100) and a specificity of 95.2% (91.5\u201397.6) for the binary classification of normal vs. abnormal images; wax plugs were detected with a sensitivity of 100% (94.6\u2013100) and specificity of 97.7% (95.0\u201399.1); other class-specific estimates of sensitivity and specificity ranged from 33.3% to 92.3% and 96.0% to 100%, respectively. We present an end-to-end DL-enabled system able to achieve expert-level diagnostic accuracy for identifying normal tympanic aspects and wax plugs within digital otoscopic images. However, the system\u2019s performance varied for other middle-ear conditions. 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