

Title
From Concepts to Clinics: A Dental AI Framework
Abstract
Artificial intelligence (AI) is finding its place in dentistry, but how do you bridge the gap between understanding its basics and applying it in practice? This session, "From Concepts to Clinics: A Dental AI Framework," offers a clear, structured approach for clinicians, researchers, and industry professionals to explore the opportunities of dental AI.
The first part focuses on foundational knowledge, starting with what AI is—and isn’t. By addressing common misconceptions and highlighting realistic applications, it sets the stage for understanding how AI can support workflows and improve patient care before diving into its broader applications in dentistry today.
The second part transitions into specialized workflows, with a focus on oral surgery. By connecting research advancements to clinical applications, this segment explores how AI can transform complex workflows, making cutting-edge practices accessible and implementable in real-world settings.
Whether you’re ready to take your first steps into the world of dental AI, get acquainted with its possibilities, deepen your understanding of specialized applications, or learn how to integrate it into practice, this session balances insight, practicality, and inspiration. Join us to discover how to turn concepts into clinical reality.
Pierre Lahoud is a Doctor in Dental Surgery (DDS) with Postgraduate Training in Advanced Medical Imaging (PGD).
In 2024, he completed his PhD at the Faculty of Medicine of KU Leuven (Oral and Maxillofacial Surgery & Imaging and Pathology Research Group) focusing on Artificial Intelligence and Biomechanical Modelling Towards Patient-Specific Oral Surgical Procedures.
He is currently a Clinical Assistant in Periodontology and Implant Surgery (KU Leuven, Belgium) and a Post-Doctoral Fellow (OMFS-IMPATH Research Group, KU Leuven, Belgium) focusing on Artificial Intelligence, In-Silico Modelling, Periodontology, Implant and Muco-Gingival Surgery.
He is also a Guest Professor at the Department of Conservative Dentistry and Periodontology, Ludwig Maximilian University of Munich, Germany, and a Principal Investigator for Benchmarking within the UN’s Global Initiative on AI for Health (Geneva, Switzerland), as well as a Board Member of the Junior Committee of Digital Dentistry Belgium.
He has published over 25 peer-reviewed international publications, lectured nationally and internationally and is the recipient of numerous national and international awards, including the IADMFR Maxillofacial Research Award (First Prize - 2021, Gwangju, South Korea), the Albert J. Stichting Travel Award (Brussels, Belgium), the 2022 Journal of Endodontics Award (Chicago, IL, USA) and the 2022 Scientific Award of the Brazilian Association of Dental Radiology and Diagnostic Imaging (Goiânia, Brazil).
Title
From Concepts to Clinics: A Dental AI Framework
Abstract
Artificial intelligence (AI) is finding its place in dentistry, but how do you bridge the gap between understanding its basics and applying it in practice? This session, "From Concepts to Clinics: A Dental AI Framework," offers a clear, structured approach for clinicians, researchers, and industry professionals to explore the opportunities of dental AI.
The first part focuses on foundational knowledge, starting with what AI is—and isn’t. By addressing common misconceptions and highlighting realistic applications, it sets the stage for understanding how AI can support workflows and improve patient care before diving into its broader applications in dentistry today.
The second part transitions into specialized workflows, with a focus on oral surgery. By connecting research advancements to clinical applications, this segment explores how AI can transform complex workflows, making cutting-edge practices accessible and implementable in real-world settings.
Whether you’re ready to take your first steps into the world of dental AI, get acquainted with its possibilities, deepen your understanding of specialized applications, or learn how to integrate it into practice, this session balances insight, practicality, and inspiration. Join us to discover how to turn concepts into clinical reality.
Pierre Lahoud is a Doctor in Dental Surgery (DDS) with Postgraduate Training in Advanced Medical Imaging (PGD).
In 2024, he completed his PhD at the Faculty of Medicine of KU Leuven (Oral and Maxillofacial Surgery & Imaging and Pathology Research Group) focusing on Artificial Intelligence and Biomechanical Modelling Towards Patient-Specific Oral Surgical Procedures.
He is currently a Clinical Assistant in Periodontology and Implant Surgery (KU Leuven, Belgium) and a Post-Doctoral Fellow (OMFS-IMPATH Research Group, KU Leuven, Belgium) focusing on Artificial Intelligence, In-Silico Modelling, Periodontology, Implant and Muco-Gingival Surgery.
He is also a Guest Professor at the Department of Conservative Dentistry and Periodontology, Ludwig Maximilian University of Munich, Germany, and a Principal Investigator for Benchmarking within the UN’s Global Initiative on AI for Health (Geneva, Switzerland), as well as a Board Member of the Junior Committee of Digital Dentistry Belgium.
He has published over 25 peer-reviewed international publications, lectured nationally and internationally and is the recipient of numerous national and international awards, including the IADMFR Maxillofacial Research Award (First Prize - 2021, Gwangju, South Korea), the Albert J. Stichting Travel Award (Brussels, Belgium), the 2022 Journal of Endodontics Award (Chicago, IL, USA) and the 2022 Scientific Award of the Brazilian Association of Dental Radiology and Diagnostic Imaging (Goiânia, Brazil).
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