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RESULTS Mean absolute error (MAE) for our ResNet50 model regarding the CheXpert dataset is 4.94 years for predicting diligent age considering AP chest radiographs. MAE for our DenseNet121 design is 4.69 years. Both designs have a correlation coefficient between real patient ages and predicted ages of 0.944. Wilcoxon rank-sum comparison between the two design architectures shows no significant difference (p = 0.33), but both show enhancement over s