German industrial giant Siemens has appointed Hermann Requardt as CEO of its Siemens Healthcare division, replacing Jim Reid-Anderson, who is stepping down for personal reasons after seven months in the job.
Siemens said that Reid-Anderson was resigning after telling the company's managing board that having his family life centered in the U.S. and his official function in Erlangen, Germany, "was not compatible over the longer term."
Reid-Anderson had replaced longtime Siemens Healthcare head Erich Reinhardt, who resigned in April 2008 following the discovery of a fund to pay for bribes for foreign contracts. Reinhardt was not believed to have been involved in the fund.
The division's new CEO, Requardt, has been the firm's chief technical officer (CTO) and head of the company's corporate technology department; he will retain both positions. He joined Siemens in 1984 and was named CTO and a member of the managing board in 2006.
In related news, Siemens appointed Michael Sen as the new chief financial officer (CFO) of the healthcare division. Sen has headed the company's investor relations division since October 2007. The division's previous CFO, Klaus Stegemann, is taking over another position in operations at Siemens.
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Road to RSNA, Healthcare Informatics, Siemens Healthcare, November 10, 2008
Road to RSNA, Ultrasound, Siemens Healthcare, November 5, 2008
Road to RSNA, MRI, Siemens Healthcare, October 31, 2008
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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)
