  Deep learning has been used to assist in the analysis of medical imaging. One
such use is the classification of Computed Tomography (CT) scans when detecting
for COVID-19 in subjects. This paper presents Cov3d, a three dimensional
convolutional neural network for detecting the presence and severity of COVID19
from chest CT scans. Trained on the COV19-CT-DB dataset with human expert
annotations, it achieves a macro f1 score of 0.9476 on the validation set for
the task of detecting the presence of COVID19. For the task of classifying the
severity of COVID19, it achieves a macro f1 score of 0.7552. Both results
improve on the baseline results of the `AI-enabled Medical Image Analysis
Workshop and Covid-19 Diagnosis Competition' (MIA-COV19D) in 2022.
