
Dr. Zaheer Sherazi, a radiologist who served in the Pennine Acute Hospitals NHS Trust in Bury, near Manchester, U.K., has been struck off as a result of his performance, according to a report posted on 10 August in the Bury Times.
He was a general consultant and interventional radiologist at the hospital before his work and communication skills were negatively assessed, the report said. He was suspended from duty for nine months by the Medical Practitioners Tribunal Service, which informed him that his "professional status in the U.K. was under threat," according to the article.
Sherazi made no effort to respond to allegations of poor performance, although the tribunal emphasized that it could be rectified, the report said. He has been struck off the U.K.'s medical register.
"The tribunal was of the view that Dr Sherazi's failure to engage with his professional regulator had become persistent," tribunal chair Colin Chapman said in the Bury Times story. "It was not satisfied that suspension would be sufficient to protect patients, promote and maintain public confidence in the profession, and to uphold standards and conduct for members of the profession."












![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&fit=crop&h=112&q=70&w=112)





