Competence Center Artificial Intelligence in Dentistry

Due to its significance and the large amount of available data, the application of AI on medical image data is an important focus of our group. The use of graph convolutional networks to process dental intraoral scans is another central research area. An additional key field of research involves combining AI with biomechanical computer simulations to better understand the sex differences in the development and progression of temporomandibular disorders. Ongoing projects include applications of unsupervised learning for segmentation of dental structures, automated grading of periodontal health, automated optimization of prosthetic restorations as well as the development of a multimodal predictive model for the detection and assessment of temporomandibular disorders.

Our group benefits from access to a powerful computing cluster and, thanks to our direct affiliation with the University Clinic of Dentistry, a vast patient database. This combination enables the training of complex network architectures. Through close cooperation with our clinical departments, the tools developed by our group can be tested directly in everyday clinical practice, allowing us to realistically assess their benefits for both dentists and patients.