In this paper, we present the major results from the Covid Radiographic
imaging System based on AI (Co.R.S.A.) project, which took place in Italy. This
project aims to develop a state-of-the-art AI-based system for diagnosing
Covid-19 pneumonia from Chest X-ray (CXR) images. The contributions of this
work are manyfold: the release of the public CORDA dataset, a deep learning
pipeline for Covid-19 detection, and the clinical validation of the developed
solution by expert radiologists. The proposed detection model is based on a
two-step approach that, paired with state-of-the-art debiasing, provides
reliable results. Most importantly, our investigation includes the actual usage
of the diagnosis aid tool by radiologists, allowing us to assess the real
benefits in terms of accuracy and time efficiency. Project homepage:
this https URL

该研究使用基于人工智能的深度学习方法，通过胸部 X 射线图像诊断 Covid-19 肺炎，并对相关工具的准确性和时间效率进行临床验证。