Technological progress is increasingly enabling translational research and development of artificial intelligence (AI) and machine learning methods for the purpose of improving and augmenting diagnostic imaging in clinical routine. These methods make it possible to decipher patterns and correlations within medical imaging data and linking the data of different medical sources beyond the existing capabilities, which can be used to gain medical knowledge to improve imaging techniques, diagnostics and patient care. The further development and research of these technologies is one of the central tasks of translational clinical research in the 21st century, especially for medical imaging, that is of pivotal role in the digitalization of hospitals. In close interdisciplinary collaboration, especially with the fields of medical data science, the working group "Artificial Intelligence and Big Data" evaluates and develops new approaches from a clinical understanding of medical data analytics. The aim is to use machine learning and artificial intelligence methods to further improve diagnosis, therapy control and prognostics for patients and to further support the development of personalized precision medicine.
Recent publications (selection):