
Royal Philips, the parent company of Philips Healthcare, has secured long-term contracts with two German hospital groups.
Kliniken der Stadt Köln in Cologne and Philips signed a 15-year, 90 million euro agreement under which Philips will deliver, upgrade, replace, and maintain advanced medical imaging services and help the hospital improve its radiology workflows. The contract covers all of the clinic's locations, which include Holweide, Merheim, and the Children's Hospital Amsterdamer Strasse, and Philips will support the clinic's construction of a new radiology unit in Merheim.
The company also signed an eight-year, 50 million euro agreement with Städtische Klinikum München in Munich, under which it will upgrade more than 200 of the hospital's imaging systems and provide medical imaging consulting services, it said.
As part of the agreements, Philips will install its IQon spectral CT scanner in both hospitals, it 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)






