RSNA has received a $2 million grant from the U.S. Department of Energy’s National Nuclear Security Administration (NNSA) to improve patient care in low- to middle-resourced countries.
Over five years, the grant will support RSNA’s program, “Global Health Initiative: Access to Radiology,” which includes efforts to promote peaceful uses of nuclear energy, RSNA said in a news release. The program will establish a new RSNA Global Learning Center (GLC) and support cancer diagnosis and treatment in Sub-Saharan Africa, as well as support the society’s Across Africa and Asia conference series.
This is the second NNSA grant awarded to RSNA. A previous grant of $1 million over three years funded the successful deployment of the RSNA Global Learning Center (GLC) at the Muhimbili National Hospital in Dar es Salaam, Tanzania. It also helped support RSNA’s “Building Connections Across the Americas: Addressing Access to Radiology” program.
Visit RSNA.org/GLC to learn more.
















![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)

