Teleradiology services firm Medica Group of London has signed contracts with seven new National Health Service (NHS) Trusts healthcare organizations.
With the addition of these hospitals, including large teaching institutions, Medica will serve almost 50 NHS Trusts.
Medica now provides an MRI/CT Dayhawk service with a sub-30 minute turnaround time to assist the Trusts in meeting new stroke guidelines, and a CT Nighthawk service to support National Institute for Health and Clinical Excellence (NICE) head trauma guidelines. Both time-critical services are delivered by experienced consultant radiologists trained and based in the U.K., according to the company.
Related Reading
Nuffield Health buys Medica, June 17, 2007
Medica signs U.K. telerad deal, April 5, 2007
CT nighthawk service launched in U.K., June 1, 2006
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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)
