RSNA Launches COVID-19 Imaging Data Repository

Article

Open database will assist with disease detection and differentiation.

In answer to a global call from the healthcare community and in an effort to expand the body of knowledge around the COVID-19 pandemic, the Radiological Society of North America (RSNA) is launching the COVID-19 Imaging Data Repository.

The open database will collect COVID-19 images and data from institutions, practices, and professional societies worldwide, building a comprehensive source for research and education efforts pertaining to the virus. All images and data will collected securely and in a way that maintains privacy and ethical principles.

“RSNA is committed to accelerating collaborative research and education on the uses of medical imaging to address diagnosis and imaging-based treatment of COVID-19,” said Curtis P. Langlotz, M.D., Ph.D., RSNA Board Liaison for Information Technology and Annual Meeting, in an announcement. “Because RSNA is a leader in connecting radiologists around the world, we have received a wave of requests from organizations interested in sharing imaging data, as well as from individuals and organizations seeking access to such data for research and education.”

Providers, practices, and organizations interested in submitting COVID-19 images and related information to the repository can respond to an RSNA survey. Expression of interest and responses are requested by April 15, 2020.

Similar to RSNA’s other data-sharing efforts with images, research, and technologic innovation, this repository will be grounded in collaboration with other imaging organizations, particularly the European Imaging COVID-19 AI Initiative that is supported by the European Society of Medical Imaging Informatics.

Recent Videos
SNMMI: 18F-Piflufolastat PSMA PET/CT Offers High PPV for Local PCa Recurrence Regardless of PSA Level
SNMMI: NIH Researcher Discusses Potential of 18F-Fluciclovine for Multiple Myeloma Detection
SNMMI: What Tau PET Findings May Reveal About Modifiable Factors for Alzheimer’s Disease
Emerging Insights on the Use of FES PET for Women with Lobular Breast Cancer
Can Generative AI Reinvent Radiology Reporting?: An Interview with Samir Abboud, MD
Mammography Study Reveals Over Sixfold Higher Risk of Advanced Cancer Presentation with Symptom-Detected Cancers
Combining Advances in Computed Tomography Angiography with AI to Enhance Preventive Care
Study: MRI-Based AI Enhances Detection of Seminal Vesicle Invasion in Prostate Cancer
What New Research Reveals About the Impact of AI and DBT Screening: An Interview with Manisha Bahl, MD
Can AI Assessment of Longitudinal MRI Scans Improve Prediction for Pediatric Glioma Recurrence?
Related Content
© 2025 MJH Life Sciences

All rights reserved.