Artificial intelligence (AI) solutions will contribute to better medical care. However, for AI to work reliably, it needs to be trained with clinical data and applications must be well adapted to healthcare professionals and their patients: Does the application provide reliable information? Is it intuitive to use and does digital communication run intuitively? Only when all these criteria are fulfilled, AI solutions will be successful in hospitals. A team of scientists from the Institute for Artificial Intelligence in Medicine (IKIM) at the University Medical Center Essen and the Medical Faculty of the University of Duisburg-Essen wants to accelerate the AI transformation. Within KITE, they will build a platform that acts as research infrastructure to bring artificial intelligence more easily and faster to the hospital bedside. The infrastructure project is funded by the European Union under the REACT-EU funding, including nearly 2.5 million euros as part of the European Union’s COVID-19 pandemic response.
KITE is another component of the digital transformation of University Hospital Essen into a Smart Hospital. The setup will significantly improve digital equipment at the interface between research and clinical care, thus accelerating the translation of algorithms to the point of care. There is new innovation potential through the open-source approach in the development of standardized software for VR/AR applications, humanoid service robots, and infrastructure-as-code solutions. The KITE approach, which is based on open interfaces and data models, also ensures that cutting-edge university medical research is standardized and available for collaborations across sites.