Fujifilm has introduced a cloud-based service in the U.K. designed to enable information sharing between imaging networks and to provide a connectivity hub to link hospital networks with remote imaging and clinical services.
A vendor-neutral offering, Fujifilm Cloud Solution connects professionals in remote locations such as general practitioner (GP) surgeries, care homes, community diagnostic hubs, ambulances, and prisons, according to the vendor. It supports sharing of both imaging and non-DICOM data such as clinical chemistry, ECG results, phlebotomy, photographs, and clinical reports.
The company said it tested Fujifilm Cloud Solution during a clinical trial with Northumbria Healthcare NHS Foundation Trust and North East Ambulance Service in early 2021. The trial involved the use of Fujifilm's FDR Xair portable x-ray unit in the community at care homes, GP surgeries, and the Ambulance Service.
![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)
