Research

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

People

Univ.-Prof. Dr. Constantin von See MaHM. MSc

Director of the Center for Research in Digital Technologies in Dentistry and CAD/CAM; Head of the Department of Radiology

CAAID

Univ.-Prof. Dr. Dritan Turhani

Director of the Centre for Oral and Maxillofacial Surgery

CAAID

OA Ass.-Prof. Dr. med. dent. Anna Bandura

OA Ass.-Prof. Dr. med. dent. Anna Bandura

Senior Dentist and Research Associate

CAAID

OA Ass.-Prof. Dr. med. dent. Patrick Bandura, MSc

Senior Dentist and Research Associate

CAAID

Cand. med. dent. Lojine Elbialy 

Cand. med. dent. Lojine Elbialy 

Student Research Assistant

OA Ass.-Prof. Dr. med. dent. Pascal Grün, ZT

Coordinator CAAID; Senior Dentist and Research Associate

Cand. med. dent. Maximilian Jung

Student Research Assistant

CAAID

OA Ass.-Prof. Dr. med. dent. Florian Pfaffeneder-Mantai, MSc

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OA Ass.-Prof. Dr. med. dent. Florian Pfaffeneder-Mantai, MSc

Senior Dentist and Research Associate

Ass.-Prof. Dr. med. dent. Michael Moncher

Research Associate

CAAID

Ass.-Prof. Dr. med. dent. Richard Mosch M.Sc

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Ass.-Prof. Dr. med. dent. Richard Mosch M.Sc

Researcher

CAAID

Cand. med. dent. Christoph Paul

Student Research Assistant

Cand. med. dent. Tim Schiepek

Student Research Assistant

Publications