Aaron Green[email protected]PACS/VNAIt's time for radiology to embrace value-based imagingCOVID-19 has heightened the need for cloud-based models across all industries, but the need is particularly acute in healthcare. Cloud-based enterprise imaging can help radiology transition to value-based care, according to Change Healthcare Senior Vice President and Chief Growth Officer Aaron Green.May 20, 2020Page 1 of 1Top StoriesMRIUnstable brain networks may drive multiple sclerosis fatigueFatigue affects between 36.5% and 78% of people with multiple sclerosis and can dramatically impair their daily lives.Womens ImagingAI-calculated BAC on mammograms predicts cardiovascular disease in womenCardiac ImagingECR: Cardiac imaging is at the 'heart' of precision medicineUltrasoundUltrasound MinnieCast, Episode 3: Focused ultrasound brings hope to patientsWomens ImagingECR: LLMs help patients understand breast imaging reports
![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&dpr=2&fit=crop&h=167&q=70&w=250)
