
The Royal College of Radiologists (RCR) has appointed Dr. Qaiser Malik as its Medical Director for Membership and Business.
Dr. Qaiser Malik. Image courtesy of the RCR.Malik will begin in his role on 1 September 2023, replacing Dr. Julian Elford. In this post, Malik will take point on cross-faculty areas of work, as well as work closely with RCR President Dr. Kath Halliday. Such responsibilities include helping with effective membership value and engagement for all, meaning that equality, diversity, and inclusion are set in the RCR's work.
Malik is a consultant musculoskeletal radiologist and clinical director of radiology at Mid and South Essex National Health Service (NHS) Trust, as well as the lead medical appraiser for Basildon and Thurrock University Hospital. He graduated from Imperial College School of Medicine.
Among his interests include musculoskeletal MRI and ultrasound, including ultrasound-guided procedures. He also specializes in imaging and treating sports injuries.










![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)








