
In just two years, the RSNA has delivered more than 30,000 de‑identified imaging exams to the Medical Imaging and Data Resource Center (MIDRC), an open-access platform that offers data that can be used for research.
The RSNA's contributions to the MIDRC depository include chest x-rays, CT images, and attendant clinical data such as care setting, discharge summaries, and whether breathing support was necessary. It is supported by the U.S. National Institute of Biomedical Imaging and Bioengineering, hosted by the University of Chicago, and jointly developed by the RSNA, the American College of Radiology, and the American Association of Physicists in Medicine.
"MIDRC is a massive, curated, diverse, multi-institutional imaging dataset that [particularly] enables new insights about the diagnosis and prediction of COVID-19 infection, its complications, and its outcomes," said Dr. Curtis Langlotz, PhD, of Stanford University and the RSNA's Board liaison for information technology and its annual meeting. "From the release of the first set of images to today, we are realizing the benefits of new algorithms and the resulting innovations in machine learning."


















![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)
