Before revision: 0.0021, F1 score of 0.9931 +/ -0.0020 , sensitivity of 0.9952 +/ -0.0020, and specificity of 0.9912 +/ -0.0048 . Intermediate activation maps and Gradient-weighted Class Activation Mappings offer human-interpretable evidence of the model's perception of ground-class opacities and consolidations, hinting towards a promising use-case of artificial intelligence-assisted radiology tools  .
After revision: 0.0021, F1 score of 0.9931 +/ -0.0020 , sensitivity of 0.9952 +/ -0.0020, and specificity of 0.9912 +/ -0.0048 . Intermediate activation maps and Gradient-weighted Class Activation Mappings offer human-interpretable evidence of the model's perception of ground-class opacities and consolidations, hinting towards a promising use-case of artificial intelligence-assisted radiology tools . With a prediction speed of under 0.1 seconds on GPUs and 0.5 seconds on CPUs, our proposed model offers a rapid, scalable, and accurate diagnostic for COVID-19 .