This year, for the first time, a computed tomography (CT) scanner is installed directly on-site at the Munich Oktoberfest to triage injured visitors. The responsible medical team of the Department of Radiology at LMU University Hospital of Munich relies on the use of artificial intelligence (AI): The Health IT company deepc is equipping the setup with leading algorithms for CT examinations of the head.
According to the Medical Directorate of the City of Munich's Rescue Service, the number of emergency admissions increases by around 30 percent during Oktoberfest, the biggest folk festival in the world, which runs from September 17th to October 3rd.
Supporting the initiative to provide on-site diagnosis and treatment resulting from head trauma, for the first time, a computed tomography (CT) scanner is set up in the first-aid area. Visitors with bleeding head wounds or other head injuries can be imaged directly on-site and do not have to be taken to an emergency room of a hospital by ambulance. To deliver the highest patient safety, the diagnostic process is supported in real-time by the use of cutting-edge AI.
Prof. Dr. med. Clemens Cyran, vice chair of the Department of Radiology at the LMU Hospital, says: “The on-site CT scanner at the Oktoberfest is primarily supporting prompt diagnosis after head injuries. Intracranial hemorrhage can be life-threatening, and diagnosis is now possible within minutes, which provides a tremendous benefit in patient safety. For optimized patient care at the Oktoberfest, we decided to integrate AI-based analysis to enable even faster diagnosis in a challenging clinical environment”.
Prof. Dr. Jens Ricke, Chair of the Department of Radiology at the LMU Hospital, adds: „The implementation of AI at the Oktoberfest CT scanner mirrors the combination of tradition and innovation that is so characteristic for Munich and Bavaria”.
Building upon the partnership with deepc and the usage of their novel AI platform deepcOS, the LMU clinicians took into operation a globally leading AI solution for the detection of brain hemorrhage, a medical device developed by the French company Avicenna.AI which is available on the platform.
“An outstanding team effort lead to improved patient care. We are more than pleased to make such a significant contribution with our AI platform in this new setting”, commented deepc’s Co-Founder and CEO Dr. Franz Pfister.
deepc has developed the radiology AI platform deepcOS. Doctors can easily access an ecosystem of regulatory-approved globally leading AI solutions for more than 35 clinical indications. AI can lead to faster reporting and more efficient workflows offering radiologists more security in their daily routine. deepc offers easy installation, one contract, billing, service,
and support in compliance with all data protection and cybersecurity requirements. www.deepc.ai
The LMU University Hospital is one of the largest university hospitals in Germany and Europe. Every year, around 500,000 patients trust the competence, care, and commitment of 11,000 employees in over 50 specialist clinics, institutes, and departments. Outstanding facilities of the LMU University Hospital include the oncological center CCC M and Bavaria’s largest transplant center TxM. www.lmu-klinikum.de