German dictation technology provider Grundig Business Systems digital products now support the Thin Clients from IGEL Technology of Fort Lauderdale, FL, and Siemens Healthcare of Erlangen, Germany, at Linux 2.4 with Citrix infrastructures for application provision.
The Bayreuth, Germany-based firm's technology is designed to help large networks increase data security and central administration of the application and process data on the Linux Thin Client as if the software were directly on the computer.
The central application also is designed to improve data protection, as personal information is stored only in protected data centers and communication between clients and the server is encrypted.
Related Reading
Grundig introduces digital dictation kits, April 24, 2008
Grundig launches new mobile dictation recorder, February 14, 2008
Grundig shows digital dictation devices at RSNA 2007, November 25, 2007
Grundig adds to speech offerings, February 21, 2007
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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)
