CAAID deals with the clinical implementation of artificial intelligence in dentistry and its critical user-oriented evaluation.
The groups research focuses on advancing the field of dentistry through innovative approaches in artificial intelligence and cutting-edge technology. CAAID is engaged in
clinical implementation of artificial intelligence in dentistry and critical user-oriented evaluation. The center directors Univ.-Prof. Dr. Dritan Turhani and Univ.-Prof. Dr. Constantin von See, MaHM. MSc. are responsible for the scientific management of the two working groups within CAAID. Through his dedication, OA Ass.-Prof. Dr. med. dent. Pascal Grün ZT has contributed significantly to the formation of CAAID. As the manager of people within the CAAID group he ensures the running of projects and activities.
He also serves as the contact person for further information about CAAID.
Dentistry is a complex medical field that requires the use of various diagnostic and treatment methods to address oral health concerns. Given the complexity of this specialty, precise interpretation of clinical data is crucial. The advancement of artificial intelligence (AI) presents an opportunity to enhance diagnosis and treatment in dentistry and oral health by enabling swift and accurate analysis of clinical data. Although there have been significant advances in this technology, its actual clinical applications require further exploration and are currently the focus of future-oriented research.
One area where AI can be particularly useful is in the interpretation of standardized radiographs such as orthopantomograms (OPTGs) and digital volume tomograms (DVTs). These diagnostic procedures require a high level of expertise and can be time-consuming.
Diagnostic errors can have serious consequences for patients. The use of artificial intelligence in vitro has already demonstrated its potential to minimize diagnostic errors and increase diagnostic certainty, saving valuable time and resources.
Machine learning has the potential to transform several clinical areas, including the detection of premalignant and malignant lesions and the interpretation of dental radiographs. Moreover, AI can optimize the planning of oral surgeries, leading to more effective and efficient procedures. The use of AI provides numerous opportunities for acquiring knowledge and improving treatment in dentistry. By linking general and dental data, clinicians can gain a more comprehensive understanding of their patients' health and deliver more personalized treatment.