The goal of the competition was two-fold: whether it is possible to predict COVID-19 severity ( mild or severe) by CXR (chest X-ray) images produced at admission with the accompanying clinical data from blood samples and other pre-screeing factors effectively and whether such a high performance model could be made explainable.

The Covid CXR Hackathon-Artificial Intelligence for COVID-19 prognosis challenge was launched and run for almost an entire month with this in mind. Due to the high pressure on healthcare workers semi-autonomous systems are always welcome in the assistance of decision making.

When this happens the hospitals fill up quickly without being able to provide the necessary care for every individual. The main issue with the COVID-19 pandemic-or any pandemic for that matter-is that healthcare systems are not designed for abrupt increase in the influx of severe cases. We conclude that CXRs at admission do not help the predicting power of the metadata significantly by itself and contain mostly information that is also mutually present in the blood samples and other clinical factors collected at admission. We also did many ablation studies in order to identify crucial parts of the models and the predictive power of each feature in the datasets. We created a best-performing, as well as, an explainable model that makes an effort to map clinical metadata to image features whilst predicting the prognosis. In addition to X-ray imagery, clinical metadata was provided and the challenge also aimed at creating an explainable model. In this article we summarize our techniques at correctly diagnosing chest X-ray images collected upon admission for severity of COVID-19 outcome. Due to these facts, the Covid CXR Hackathon-Artificial Intelligence for Covid-19 prognosis: aiming at accuracy and explainability challenge had been launched at the beginning of February 2022, releasing a new imaging dataset with additional clinical metadata for each accompanying chest X-ray (CXR). One of the first waves of the pandemic hit Northern Italy severely resulting in high casualties and in the near breakdown of primary care. In the past few years COVID-19 posed a huge threat to healthcare systems around the world.

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