Dutch industrial conglomerate Royal Philips Electronics said it has launched an effort to extend healthcare education in Europe, Asia, and the South Pacific.
The company, the parent of Philips Healthcare of Andover, MA, is collaborating with the International Society of Radiographers and Radiological Technologists (ISRRT) on the International Access to Learning (IAL) program. The program's first phase will be piloted in Estonia, Fiji, and India; participants will choose from a catalog of more than 300 accredited business and clinical courses.
The courses will begin in the first quarter of 2008, and will be free for members of ISRRT societies that can access program guidelines and registration via the ISRRT Web site. Later phases of the program will assess the success of this initial phase, according to Philips.
Related Reading
Philips adds languages to SpeechMagic, November 28, 2007
Philips, Elsevier to partner on speech recognition, November 15, 2007
Road to RSNA, Healthcare Informatics, Philips Medical Systems, November 8, 2007
Road to RSNA, Ultrasound, Philips Medical Systems, November 5, 2007
Philips, ImaRx ink research deal, November 5, 2007
Copyright © 2008 AuntMinnie.com
![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)
