European cardiologists are thinking mobile, with 73% of them expecting to employ hand-carried ultrasound technology within the next five years.
A survey by research firm InMedica of Wellingborough, U.K., found that Western European cardiologists expect portable and hand-carried ultrasound systems to be increasingly used in emergency situations and intensive care units in the near future.
By taking ultrasound to the patient's bedside, patient waiting times will be reduced and fewer scans will be referred to imaging departments, according to InMedica. Screening and minor scans may be performed by nonimaging specialists using portable equipment, with patients referred to imaging departments for more in-depth scans.
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Compact ultrasound driving global US market, May 29, 2007
Compact ultrasound proves successful in outpatient cardiac setting, April 19, 2007
Handheld US market on the rise, February 7, 2007
Hand-carried ultrasound enhances bedside cardiovascular examination, September 29, 2004
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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)
