A CT scanner equipped with artificial intelligence (AI) algorithms to detect head injuries has been installed for the first time onsite at the Munich Oktoberfest and is being held from 17 September to 3 October.
A team from the department of radiology at Ludwig Maximilian University (LMU) Hospital in Munich is on hand to triage patients at the festival's first-aid area. Visitors with bleeding head wounds or other head injuries can be imaged directly onsite and do not have to be taken to an emergency room of a hospital by ambulance, LMU Hospital representatives said.
The AI technology is being delivered by deepc, LMU Hospital´s partner. The vendor has provided the AI platform on which the package from French company Avicenna.ai runs.
"The implementation of AI at the Oktoberfest CT scanner mirrors the combination of tradition and innovation that is so characteristic for Munich and Bavaria," said Prof. Dr. Jens Ricke, chair of radiology at LMU Hospital.
The number of emergency admissions in Munich increases by around 30% during Oktoberfest, according to Munich's Rescue Service.
![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)
