Siemens Healthcare has earned a contract to install multiple full-field digital mammography (FFDM) systems in Scottish hospitals, the Erlangen, Germany-based firm reported.
Nine of the company's Mammomat Inspiration FFDM devices will be installed in eight hospitals this spring and summer.
Six hospitals will receive the units in April. These facilities include St. John's Hospital in Howden, Livingston; Borders General Hospital in Melrose, and NHS Greater Glasgow and Clyde's Glasgow Royal Infirmary, Western Infirmary, Victoria Infirmary, and Stobhill Hospital.
Of the remaining three units, two will be installed at Western General Hospital in Edinburgh and one at Queen Margaret Hospital in Dunfermline.
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Siemens signs pact with Cleveland Clinic, April 1, 2008
Siemens adds to syngo Dynamics, March 31, 2008
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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)
