The RSNA plans to build a COVID-19 imaging data repository, adding to its body of research and education resources for the disease.
The COVID-19 Imaging Data Repository will be an open resource that consists of images and data from institutions, practices, and societies around the world, the RSNA said. An image hosting, annotation, and analysis framework will allow users to track the disease's epidemiological trends and generate new artificial intelligence (AI) algorithms to help detect it, differentiate it from other pneumonias, and plan treatment.
The data repository will be developed in collaboration with the European Imaging COVID-19 AI initiative, which is supported by the European Society of Medical Imaging Informatics.
The society is requesting that COVID-19 imaging data be submitted via a survey by April 15.
![Axial images from unenhanced calcium score cardiac CT (left) and curved planar reformation images from CT angiography (right) show that higher long-term exposure to air pollution is associated with greater coronary artery calcium and more obstructive coronary artery disease (CAD). Top row: Images in a 68-year-old male patient with higher 10-year mean ambient air pollution exposure (7.9 μg/m3 for particulate matter measuring ≤2.5 μm in diameter [PM2.5] and 17.4 parts per billion [ppb] for NO2) with extensive CAD (coronary artery calcium score [CACS] >1,000 and obstructive CAD [≥70% diameter stenosis]). Bottom row: Images in a 57-year-old female patient with lower 10-year mean ambient air pollution exposure (6.3 μg/m3 for PM2.5 and 4.6 ppb for NO2) with no CAD (CACS = 0 and no obstructive stenosis).](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/hanneman.r6SMLzkezo.png?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
