Joanna Jaworek-Korjakowska

Artificial Intelligence in Orthodontics: Advancing Diagnosis, Computer Vision, and 3D Visualization

Artificial Intelligence (AI) is transforming orthodontics by introducing advanced computational tools that enhance diagnostic precision, optimize treatment planning, and improve patient outcomes. The application of computer vision, machine learning, and 3D visualization techniques enables more precise assessment of craniofacial structures, automated cephalometric analysis, and personalized treatment simulations. AI-driven algorithms can process and interpret large volumes of medical imaging data, offering new levels of efficiency and accuracy that surpass conventional methods. This presentation will explore the integration of AI technologies in orthodontic diagnosis, highlighting their potential in automated image recognition, anomaly detection, and treatment prediction. Additionally, it will examine how 3D visualization techniques facilitate patient education and enhance treatment planning by providing immersive, data-driven insights. The session will also address the challenges and ethical considerations associated with the implementation of AI in clinical orthodontic practice, ensuring a balanced perspective on its current capabilities and future potential.

Aims and objectives

The primary aim of this session is to provide an in-depth understanding of the role AI plays in orthodontics, with a particular focus on computer vision, automated diagnosis, and 3D visualization. Participants will gain insights into how AI-driven models are revolutionizing cephalometric analysis, improving image segmentation, and enabling predictive treatment planning. A key objective of the discussion is to explore how machine learning techniques can enhance accuracy and efficiency in orthodontic workflows, offering automated detection of anomalies, landmark recognition, and decision support for clinicians. The session will also examine the impact of 3D visualization technologies, highlighting their role in treatment simulations, patient communication, and case documentation.

Speaker biography

Joanna Jaworek-Korjakowska, Univ. Professor, Director of the Centre of Excellence Artificial Intelligence and Deputy Head of the Department of Automatic Control and Robotics at the AGH University of Krakow, Poland. In 2019 she obtained Habilitation in the field of technical sciences with emphasis in artificial intelligence.  She is an expert at the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE), member of IEEE, Polish Artificial Intelligence Society, and International Dermoscopy Society as well as an alumnus of the TOP 500 Innovator programme at Stanford University, USA. She has been involved in several national (NCN, NCBiR) and international research projects including EPSRC, FAST Healthcare Network Plus, DAAD, National Institutes of Health and NAWA Spinaker, Bekker programs. Prof. Jaworek has been awarded Bekker Fellowship to conduct research at the Stanford University, USA. Her main research interests focus on computer vision, data mining, artificial intelligence especially deep learning methods, anomaly detection as well as clustering. J. Jaworek has been awarded Honorable Mention Award during the CVPR'19 conference (ISIC workshop), MNiSW Scholarships for outstanding young scientists 2017-2020, and Individual award from the AGH-UST Rector for best publishing scientists 2017-2023.