MC3 – Medical Cognitive Computing Center
The Future of Modern Medicine in Linz
The province of Upper Austria sees artificial intelligence (AI) as one of the most important technology trends of the next decade. With the new Medical Cognitive Computing Center (MC3), it is creating a hub to research and implement innovative AI methods in order to ensure optimal patient care. MC3 brings together the knowledge, expertise, and experience of three partners: Johannes Kepler University Linz (JKU), Kepler University Hospital Linz (KUK), and the Medical Informatics research department of RISC Software GmbH.
Medical Expertise
Univ. Prof. Dr. Jens Meier, head of the University Clinic for Anesthesiology and Operative Intensive Care Medicine and director of the Department of Neuroanesthesia and Intensive Care at KUK, is one of the few medical professionals with experience in fundamental AI-related medical research. His focus lies on the systematic improvement of patient care. According to him, “One advantage of using AI methods in medicine is the ability to uncover previously unnoticed correlations.”
Academic Excellence in AI
At JKU, several highly successful research groups work in the field of artificial intelligence. In particular, the Institute for Machine Learning, led by Univ. Prof. Dr. Sepp Hochreiter, combines expertise in machine learning with practical applications in biology, genetics, and medicine. This combination ensures that innovative AI methods are translated into real-world healthcare applications.
Contributions of RISC Software GmbH
The Medical Informatics department at RISC Software GmbH has built up strong expertise over nearly 20 years of collaboration with healthcare professionals. In the MC3 project, it contributes AI-based methods for medical data analysis and prediction. Consequently, MC3 integrates both research excellence and practical know-how.
Research Focus Areas
As part of the MC3 project, a center is being established that merges medical and AI research into a combined focus area for the healthcare system in Upper Austria. This initiative will lead to knowledge- and data-intensive methods aimed at further optimizing clinical patient care, with key research areas in healthcare services and patient safety.
MC3 is tackling solutions for the following medical challenges:
- Transfer Management: Can a patient be safely transferred from intensive care to a general ward?
- Manchester Triage: What treatment priority should be assigned to a patient arriving at the emergency room?
- Blood Transfusions: Are side effects or complications expected during a blood transfusion?
- Deterioration Prediction: Will an intensive care patient’s condition deteriorate in the near future?
- COVID-19: Can the course of a COVID-19 infection and the likelihood of death from COVID-19 be predicted using blood test results?
Data and Ethics
The MC3 project partners are specialists in the use of AI in medicine. They rely on expertise and data resources that are often unavailable to other IT companies. Kepler University Hospital has been collecting all clinical data for over ten years in a well-maintained data warehouse. This data can be exported anonymously and used in accordance with legal requirements. Patient rights are safeguarded through the involvement of the ethics committee and compliance with all regulations, particularly the GDPR and the Medical Devices Act. Since only retrospective data is analyzed, there is no risk to patients. The close collaboration among medical professionals, bio- and medical informaticians, and AI experts ensures a thorough understanding of the challenges, guaranteeing both medically and methodologically sound data processing and predictive modeling.
MC3 helps preserve and expand highly qualified jobs and provides top-tier training in a scientifically excellent, interdisciplinary environment. Building academic expertise in this area not only enables the center’s own growth but also enhances its visibility and appeal to international researchers. Economically, MC3 also contributes significantly to the competitiveness of the Upper Austrian region.
This project is funded by research grants from the province of Upper Austria. RISC Software GmbH is part of the UAR (Upper Austrian Research) network.
Project Partners
- Kepler University Hospital Linz, University Clinic for Anesthesiology and Operative Intensive Care Medicine (Consortium Lead)
- Johannes Kepler University Linz, Institute for Machine Learning
- RISC Software GmbH, Medical Informatics Research Department
Project Details
- Project Short Title: MC3
- Project Full Title: Medical Cognitive Computing Center
- Funding Call: Guideline of the Province of Upper Austria for the promotion of economic and technological research, technology development and innovation by Upper Austrian research institutions (FTI Upper Austria Research Institutions) for the period 07/01/2015 – 06/30/2021
- Total Budget: €1.294 million
- Total Funding: €1.151 million
- Duration: 12/2018–11/2022
Contact Person
Contact
Dr. Michael Giretzlehner
Head of Unit Medical Informatics