CE programme
In Person

Artificial intelligence in endodontics: what can we do with it?

Beirut International Dental Meeting 2025 - BIDM

Location

Beirut, Lebanon, Middle East

Speaker

Dr Francesco Mannocci

Prof. Francesco Mannocci (MD, DDS, PhD, FHEA) is a specialist in Endodontics and Restorative Dentistry. He obtained his MD (Pisa, Italy, 1986) and DDS (Pisa, 1990) in Italy, and his PhD in Clinical Dentistry from King's College London in 2001. After working in private practice in Pisa for 18 years while collaborating with the University of Siena as a Visiting Professor, he moved to King’s College London in 2004 and became Professor of Endodontology at King’s College London in 2011.
He has authored more than 180 papers in international peer-reviewed journals. He is Associate Editor of the International Endodontic Journal , Past President of the British Endodontic Society and was awarded the Louis I. Grossman International Award 2022 by the French Endodontics Society
Prof. Mannocci’s research covers subjects including the restoration of endodontically treated teeth, instrumentation techniques, dental anatomy, histology, endodontic radiology, and endodontic microbiology.

Organizer

Lebanese Dental Association

Abstract :

The rapid evolution of artificial intelligence (AI) is reshaping modern health care, and Endodontics has been no exception. In the last decade, research exploring AI applications in this field has expanded considerably. Clinical integration is now emerging, with AI contributing to imaging analysis, decision-making, and intraoperative guidance. Beyond these areas, AI tools are increasingly being adopted for diagnosis, treatment planning, outcome prediction, and educational purposes. This presentation will review the potential of AI in identifying and characterizing endodontic conditions, including periapical pathology, fractures, resorptive processes, and anatomical variations, as well as its role in treatment prognostication, in particular, the performance of AI platforms in detecting Apical periodontitis will be compared with that of general dentists and endodontists.

Learning objectives :

  • to understand the principles behind the use of Artificial Intelligence in endodontics
  • To appreciate the potential use of AI in diagnosis, treatment planning and outcome prediction
  • to appreciate the limits of the currently available endodontic platforms in detecting apical periodontitis