Prof. Tom Braekeleirs

The Why, The Wow and the Well of AI in Healthcare

The fact that AI will be a crucial building block for the future of healthcare is stating the obvious. However, we need to be aware of the possibilities, but also of the limitations and what AI can mean in concrete terms. If it is not at the service of patients and healthcare providers, we can seriously question its effectiveness. In other words, how can we make sure we don’t miss out on the impact of AI in healthcare? Answer: By making AI acceptable. In this keynote, Tom Braekeleirs takes a closer look at AI, beyond the hype. A story about the Why, Wow and Well of AI in Healthcare.

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Prof. Dr. Ruben Pauwels

Artificial Intelligence in Dentistry: Current State and Challenges

Ruben Pauwels (MSc, PhD) is an associate professor at the Department of Dentistry and Oral Health, Aarhus University, Denmark, and strategic research coordinator of the ‘Intelligent Systems’ research group. He has a background in biomedical sciences and medical physics, and a research focus comprising the optimization of medical imaging in dentistry and the use of machine learning in the clinical workflow.

In his lecture, he will discuss the current state of AI in dentistry, focusing on both research and clinical deployment. He will also address key limitations and bottlenecks in the field, along with challenges related to ethical usage, regulatory oversight, user training, and patient communication.

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Dr. Mathieu Rousset

Apport de l’Intelligence Artificielle dans le digital workflow implantaire

Gain de précision ou perte de contrôle ?
La digitalisation a profondément transformé toutes les spécialités dentaires, mais c’est en implantologie que son impact se fait le plus sentir. L’empreinte optique, pierre angulaire du workflow numérique, s’intègre désormais à toutes les étapes : de la planification à la mise en charge immédiate. Grâce à l’intelligence artificielle, de plus en plus de processus sont automatisés, offrant davantage de précision et de rapidité. Citons, entre autres, la segmentation anatomique automatique, l’alignement CBCT/empreinte, la reconnaissance des dents et des édentements, la proposition d’un axe implantaire optimisé, l’évaluation osseuse et le wax-up virtuel en un clic, ainsi que la détection des erreurs d’enregistrement. La photogrammétrie occupe également une place de plus en plus centrale dans la fiabilité des traitements à mise en charge immédiate. Cela soulève une question essentielle : quelle marge de décision reste-t-il au praticien ?

Cette conférence propose une plongée technique et pédagogique dans l’univers du digital piloté par l’intelligence artificielle, avec pour objectif de redonner au clinicien une lecture claire et critique de ces outils en pleine évolution.

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Dr. Fréderic Van der Cruyssen

Beyond Human Hands and Brains: AI and Innovation in Nerve Injuries and Implant Dentistry

Dental implant placement has become a routine procedure, yet nerve injuries remain rare but debilitating complications often confusing patients and clinicians on the best next steps.

We will discuss recent advancements in risk stratification, nerve imaging and management of these injuries within an evidence-based approach. Results from our recent multicenter clinical study as well as the integration of AI tools into our practice will be demonstrated.

The goal of this lecture is to demonstrate how innovation and AI do not replace the surgeon but rather enhance clinical expertise, opening new perspectives for prediction, planning, and treatment.

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Lth. Stijn Van Aelst

Artificial Intelligence in the Digital Dental Workflow: From Virtual Patient to Clinical Application

Artificial intelligence is rapidly transforming modern dentistry, opening new possibilities across diagnostics, planning, and treatment. This presentation examines the development of the “virtual patient,” focusing on automated segmentation of craniofacial structures and the integration of intraoral scans with CBCT data. 

The role of AI in implant planning will be highlighted, particularly in supporting accurate and consistent determination of implant position and dimensions. 

The potential of AI in virtual crown design will also be discussed, with attention to its benefits in speed and consistency as well as its current limitations in clinical and anatomical accuracy. 

By outlining both the capabilities and the challenges of these technologies, this lecture aims to provide a realistic perspective on the role of AI in the evolving digital dental workflow.

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