Two staff members at a hospital in India where a man was killed in an MRI suite still await legal charges due to confusion between police and municipal authorities over the investigation of the incident, according to a news report.
The two hospital employees were suspended by the hospital after they failed to prevent Rajesh Maru from entering the scanner room carrying an oxygen tank. Maru was sucked into the scanner and killed.
The employees have yet to be charged, however, according to an August 29 article published by the Free Press Journal. The police reportedly are waiting for the completion of a report by Brihanmumbai Municipal (BMC), the municipal authority governing Mumbai, while the BMC believes that charges can be filed without the completed report.
Further, BMC authorities stated that they have already filed a preliminary report that could be used as the basis for filing charges, while the police maintain that municipal officials have yet to submit the reports they need.
![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)
