The Group for Applied Imaging Applications of Artificial Intelligence (GAIA) is designed as an interdisciplinary team that combines new means and methods of image analysis with the clinical expertise of various medical disciplines. While the technical equipment and AI know-how are provided by the data science group affiliated with radiology, the applications are based on the expertise of various groups throughout the hospital. By joining forces, the full power of AI-based image analysis can be unleashed and used to improve patient care.

GAIA builds on existing collaborations with clinical partners in nephrology, nuclear medicine, neurology, urology, dermatology and neurosurgery, but is intended as an open structure and environment to accommodate new collaborators and/or projects. The data science side provides AI methods for image analysis, including Convolutional Neural Nets, U-Nets, Res-Nets, but also traditional machine learning concepts such as Radiomics and Support Vector Machines. In addition, new and up-to-date algorithms and frameworks are constantly being developed and made available for translational research (including generative adversarial networks, ensemble and unsupervised learning techniques). All algorithms are embedded in research workflows, including GDPR-compliant data curation and storage, to enable direct applicability to new research projects and/or ideas.

Cologne Fortune research pool (funding type 3)

Ophthalmology: Center for Ophthalmology
Nephrology: Internal Medicine II - Nephrology, Rheumatology, Diabetology and General Internal Medicine
Urology: Clinic for Urology, Uro-Oncology, Special Urological and Robot-Assisted Surgery
Nuclear Medicine: Clinic and Polyclinic for Nuclear Medicine
Neurology: Clinic and Polyclinic for Neurology
Neurosurgery: Center for Neurosurgery
Lymph nodes: Clinic and Polyclinic for Internal Medicine I and Center for Integrated Oncology
Dermatology: Clinic and Polyclinic for Dermatology and Venereology