GE Healthcare has announced that it is entering into agreements in Spain and Italy to evaluate its Vscan pocket-sized ultrasound scanner in the clinical setting.
Over the next few months, more than 20 medical professionals at USP Hospitales in Spain and University of Naples Frederico II in Italy will perform clinical impact evaluation of Vscan, a handheld ultrasound scanner unveiled in October, the Chalfont St. Giles, U.K., company said.
In addition, these clinicians will be charged with evaluating Vscan's overall potential impact on patient care and developing specific medical protocols for use by general practitioners, intensive care specialists, and cardiologists.
Additional evaluation sites are planned in Spain and Italy.
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GE awarded $1.2M NIH grant, November 3, 2009
GE launches eHealth division, October 30, 2009
GE sells AgilTrac to Virtua, October 28, 2009
GE Expands Logiq E9 scanner, October 23, 2009
GE forms $250M healthcare equity fund, October 22, 2009
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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)
