It is with great pleasure that we invite you to the 11th Congress on Methodological Issues in Oral Health Research, to be held in Athens, Greece, in November 2026.
This congress will build on the tradition of the previous congresses and will center on the transformative role of artificial intelligence in oral health care, exploring its potential to revolutionize research methodologies, clinical decision-making, and patient care.
Keynote speakers include Prof. Reinhilde Jacobs (KU Leuven, Belgium; Karolinska Institute, Sweden), who will present “AI Beyond the Metrics: Serving Oral Healthcare Applications.” Prof. Stefanos Kollias (Emeritus Professor, NTUA; Chairman of GRNET S.A.) will introduce new challenges and approaches in AI within the Hellenic and European context. Prof. Ralf Kurt Willy Schulze (University of Bern, Switzerland) will discuss “Artificial Intelligence: Concepts and Challenges’’ in Dental Care. Prof. Anne de Hond (University Medical Center Utrecht, Netherlands) will explore “Artificial Intelligence in Healthcare: Promises and Pitfalls.”
Finally, Prof. Jean-Marc Retrouvey (Case Western Reserve University, USA) will address “Maturing the AI Paradigm in Orthodontics—From Algorithmic Comparison to Clinical Utility.”
Researchers and students are encouraged to present their work through short oral presentations or posters. Key dates include abstract submission from 10 April to 20 July 2026, notification of acceptance by 30 July 2026, and early registration opening 4 April 2025.
Visit www.miohr.net for details and submissions.
Athens blends ancient heritage with modern vibrancy, offering easy accessibility and iconic sights. This year provides an ideal opportunity to combine cutting-edge science with cultural exploration. The congress venue is conveniently located by the Katehaki Metro station (Blue line) allowing easy and fast access from most areas of Athens.
We are looking forward to welcoming you to this invaluable meeting in Athens.
Scientific Program & Workshops
Discuss methods to improve the design, conduct and analysis of oral health research
Enhance the communication between oral health researchers, statisticians and other scientists
Oral health researchers and statisticians with specific interest in oral health data analysis
