AI in Pediatric Dentistry and Endodontics: Linking Research to Clinic

Introduction: Artificial Intelligence (AI) is revolutionizing various fields of medicine, including dentistry. This lecture aims to explore the transformative impact of AI in paediatric dentistry and endodontics, emphasizing the transition from research to clinical application. We will focus on two cutting-edge areas: tooth autotransplantation and regenerative endodontics.

Objectives:

1. To provide an overview of AI technologies applicable to paediatric dentistry and endodontics.

2. To discuss the latest research findings on AI use in tooth autotransplantation and regenerative endodontics.

3. To illustrate practical applications and case studies demonstrating the clinical integration of AI.

  • Main Topics:

    1. AI in Paediatric Dentistry:

    o Overview of AI tools and their potential benefits.

    o Diagnostic accuracy and treatment planning enhancements.

    o Predictive analytics for patient outcomes and personalized treatment.

    2. AI in Endodontics:

    o AI-driven advancements in diagnosis and procedural efficiency.

    o Enhancements in patient education and communication through AI.

    3. Tooth Autotransplantation:

    o Research advancements facilitated by AI.

    o Case studies demonstrating successful clinical applications.

    o Future directions

    4. Regenerative Endodontics:

    o AI & its role in clinical outcomes analysis

    o Clinical case studies highlighting different outcomes of regenerative treatments.

    Conclusion: The integration of AI into paediatric dentistry and endodontics holds significant promise for improving patient outcomes, enhancing diagnostic precision, and streamlining clinical workflows. By bridging the gap between research and clinical practice, AI can drive forward the fields of tooth autotransplantation and regenerative endodontics, paving the way for more effective and personalized dental care.

  • Mostafa EzEldeen earned his Bachelor of Dental Medicine and Surgery from Mansoura

    University, Egypt, in 2007 before relocating to Belgium. There, he obtained his Master in

    Dentistry, Summa cum laude, at KU Leuven, followed by a Master of Oral Health Research in

    2010 and a specialization in Paediatric Dentistry and Special Dental Care in 2012. In 2013, he

    completed his Postgraduate studies in Advanced Medical Imaging at KU Leuven and

    obtained his PhD in 2021 with the title “Dental Tissue Regeneration in Children: Can We

    Mimic Nature”

    Currently, Mostafa is a Postdoctoral Fellow at the OMFS-IMPATH research group at KU

    Leuven, while also practicing as a Paediatric Dentist in private practice and UZ Leuven

    (Department of Dentistry, Paediatric Dentistry, and Special Dental Care). His

    interdisciplinary research focuses on clinic, immune-modulation, and biomaterials

    engineering, aiming to develop innovative therapies for dental tissue loss in children and

    adolescents. His work encompasses healing pattern assessments in teeth and bone

    following regenerative processes using Cone Beam Computed Tomography (CBCT), reliable

    teeth segmentation method development utilizing Artificial Intelligence, CBCT-guided tooth

    autotransplantation, 3D (bio)printing, and chemokine-mediated dental tissue regeneration.

    Mostafa has been recognized with several awards, including the 1st place research award

    from the International Association of Dental Traumatology (2014), Journal of Endodontics

    Awards (2016 & 2021) for the best articles in clinical research and regenerative endodontics,

    and the Belgian Albert Joachim Award in Odontostomatology (2018). He has published 34

    international peer-reviewed papers and authored four book chapters.