The AHRA and Toshiba Medical are now accepting applications for the 10th year of their Putting Patients First grant program.
The grants, which are funded by an unrestricted educational grant from Toshiba, are designed to help healthcare facilities fund programs, training, or seminars aimed at improving patient care and safety and customizing treatment in CT, MR, ultrasound, x-ray, and vascular imaging, according to the vendor. Six grants of up to $7,500 each will be awarded to hospitals and imaging centers, along with an additional grant of up to $20,000 for an integrated delivery network (IDN).
Three of the $7,500 grants will be awarded for projects that improve pediatric imaging, while the other three will be given for initiatives aimed at improving overall patient care and safety in imaging. The additional grant of up to $20,000 will be presented to an IDN or hospital system for projects that improve overall patient care and safety in imaging across the IDN or hospital system, Toshiba said. All winning facilities will be expected to develop and share their best practices.
Applications can be submitted on the AHRA's website until October 30. The AHRA will select the winners, which will be announced at the RSNA annual meeting in December.


















![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)

