Prof. Dr. Kaan Orhan
Dean and a Professor of DentoMaxilloFacial Radiology
Prof. Dr. Kaan Orhan is Dean and Professor of Dentomaxillofacial Radiology at the Ankara University Faculty of Dentistry, Turkey. He completed his doctoral training and radiology residency at Osaka University, Japan, and Ankara University, and has built an internationally recognized academic career in maxillofacial imaging and diagnostic radiology.
Prof. Orhan has authored more than 400 peer-reviewed publications with over 7,000 citations and an h-index exceeding 45. He has served in major leadership roles within the European Academy of DentoMaxillofacial Radiology, including President (2014–2016), and is currently President-Elect of the International Association of DentoMaxillofacial Radiology (2025–2027).
His research spans advanced imaging, artificial intelligence in dentistry, and diagnostic radiology, earning numerous international awards. Prof. Orhan has been listed among the world’s most influential scientists by Stanford University and continues to lecture globally on innovations in dentomaxillofacial radiology.
All Sessions by Prof. Dr. Kaan Orhan
Guest Lecture - AI-Powered Radiological Diagnostics in Dentistry: Panoramic Imaging to CBCT and Beyond
Artificial intelligence (AI) is rapidly transforming dental radiology by enhancing image interpretation, improving diagnostic accuracy, and supporting clinical decision-making. This lecture will provide an overview of current AI applications in panoramic radiography, cephalometric analysis, and CBCT imaging, highlighting advances in automated tooth detection, anatomical landmark identification, lesion characterization, and pathology segmentation. Integrating machine learning and deep learning methodologies, AI-powered radiological workflows offer improved consistency, reduced interpretation time, and enhanced early detection of dental and maxillofacial conditions. The session will also touch upon the future outlook of AI-driven multimodal imaging, including its potential role in MRI-based dental diagnostics and cross-modality fusion. Practical examples from recent clinical and research studies will be presented to demonstrate how AI is shaping the next generation of radiological diagnostics in dentistry.