Medical imaging vendor Carestream Health of Rochester, NY, is working with an Italian hospital on a new module for its RIS software that will enable general practitioners to directly book digital radiography (DR) exams and receive results back on their PCs.
Carestream is working on the module with San Salvatore Hospital in the L'Aquila province in the Abruzzo region of Italy. Carestream believes it is the first project of its kind in the country, and a pilot study is currently under way involving 60 general practitioners, with plans to have the system fully operational with 90 doctors by the middle of 2009.
When doctors identify the need to carry out routine x-rays, they will complete a clinical symptom form online, indicating a proposed period for the examination. On receiving the proposal, the hospital will process the request according to the level of urgency and planned workflow within the radiology department. The doctor receives an immediate response of date and time, and receives feedback about the examination, report, and images following the procedure.
Carestream believes the project will open debate and dialogue between clinicians, with the aim of evaluating the relevance of each type of examination. The RIS module will enable each patient to be paired with the referring physician and provide the hospital with relevant data about each examination request.
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![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&dpr=2&fit=crop&h=167&q=70&w=250)
