– Received DMD degree from University of Montreal, Canada in 1978.
– Received MSc degree from Boston University, USA in 1993.
– Received Prof. title from University of Missouri–Kansas City, USA in 2020.
– Former Chair, Department of Orthodontics UMKC.
– Former Director, Division Orthodontics, McGill University, Montreal, Canada.
– Invited Professor, Case Western Reverse University, Ohio, USA.
– Invited Professor Universidad de Especialidades Espíritu Santo, Ecuador.
– Invited Professor, National Autonomous University of Mexico, Mexico.
– Senior Faculty, Baylor College of Medicine, Department of Genetics, Houston, USA.
Abstract 1: The methods for producing dental appliances are rapidly evolving with the introduction of advanced, affordable 3D printing systems designed for clinical environments. These new printers make it possible to fabricate a wide range of appliances, including orthodontic 3D printed aligners, TMJ splints, sleep apnea devices, growth modification and various removable appliances, directly in the dental office.
This technological shift represents a major step toward a fully digital workflow, enabling the predictable creation of appliances generated from simulation software. Directly printed appliances have the potential to be more accurate, faster to produce, and more cost-effective than conventionally fabricated laboratory appliances.
In this presentation, we will review the core technologies and materials that make this transformation possible, highlighting how digital design and additive manufacturing are reshaping clinical dentistry. The discussion will primarily focus on orthodontic aligners and sleep apnea appliances, the first clinical applications of this emerging technology, while outlining the expanding possibilities for other custom-printed devices in the near future.
Abstract 2: Artificial Intelligence is the new buzz word in the 21st century. Everything around you seem to be controlled by AI. AI is almost thought as the future replacement for many professions, orthodontics included. However, AI is indeed a very powerful data management system controlled by algorithms created by humans. Its goals are to analyze data and predict outcomes using mathematical models. As helpful as these concepts are, the human element of judgement, intuition, psychosocial approach of our patients is absent from these predictions.
Combining clinical judgment with AI driven predictions promises to offer the clinician a broader perspective to further improve the predictability of individualized orthodontic treatments. Decision Intelligence (DI) is the combination of artificial and human intelligence. DI is being increasingly applied in the field of medicine as it offers the power of mathematical reasoning with the human element added to provide the practitioner with a more compelling diagnosis and treatment planning.This lecture will explore how incorporating DI in a busy orthodontic practice can enhance the outcome of their treatments while retaining full control of the final decision.