Carestream Health has won the public tender to supply an integrated Vue RIS, Vue PACS, and archiving system to the Azienda Sanitaria Provinciale (ASP) of Cosenza, a large trust in the south of Italy.
The new system will manage, store, and digitally process the radiology studies performed annually by the Cosenza ASP. Equipment and systems will be installed in two data centers, each capable of storing 145 TB of data and providing online storage for more than five years. Installation is scheduled for completion in June 2015, according to Carestream.
The trust has 14 hospitals and four outpatient clinics, an annual average of around half a million examinations, and a catchment area of more than 400,000 service users. The Cosenza ASP is the first provincial trust in the Calabria region to adopt a teleradiology system with the aim of improving the productivity and the quality of the service offered to patients, Carestream said.












![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)




