CAAID
CAAID
The Clinical Application of Artificial Intelligence in Dentistry (CAAID) develops and evaluates AI-driven clinical solutions for diagnostics, treatment planning, radiology, oral surgery, and evidence-based decision support in dentistry.
About CAAID
Research Focus
The Clinical Application of Artificial Intelligence in Dentistry (CAAID) research group at Danube Private University is dedicated to the clinical implementation, evaluation, and validation of AI-based methods in dentistry.
The group focuses on translating AI technologies into real clinical workflows, with particular emphasis on diagnostic support, risk assessment, treatment planning, and outcome evaluation. Core research areas include dental and maxillofacial radiology, oral and maxillofacial surgery, oral medicine, implantology, and dental education.
A central objective of CAAID is the user-centered and evidence-based assessment of AI systems. In addition to technical performance, the group investigates clinical relevance, the impact on decision-making, and ethical and regulatory considerations. By combining clinical expertise with digital technologies, CAAID aims to support healthcare professionals while ensuring transparency, accountability, and patient safety.
Team & Expertise
The CAAID research group is an interdisciplinary collaboration between the Center for Oral and Maxillofacial Surgery and the Center for Digital Technologies and CAD/CAM at Danube Private University.
The team brings together expertise in oral and maxillofacial surgery, dentistry, medical imaging, artificial intelligence, software development, and digital workflow integration. This interdisciplinary structure enables close collaboration between clinicians and technology experts, allowing AI-based solutions to be developed and evaluated directly within the clinical environment.
Current Projects
Selected research projects include:
- AI-based analysis and risk assessment in dental and maxillofacial radiology
- Clinical evaluation of AI-supported decision support systems in oral and maxillofacial surgery
- Digital navigation and AI-assisted planning in implantology
- AI-based learning and simulation systems in dental education















