Discover how artificial intelligence is reshaping Orthodontics at the point of care. In this practical session designed for clinicians and researchers, we’ll move beyond the buzz to explore evidence-based AI tools that enhance diagnostic accuracy, streamline clinical workflows, and boost practice efficiency. Learn how real-time AI assists in assessing bone loss and planning of tooth movement; automates documentation and imaging analysis; and personalizes treatment planning, and understanding clinical outcomes. Building on these core applications, we will review emerging developments such as predictive modeling of treatment response, automated growth assessment, and advanced 3-D image segmentation. Case studies will highlight successful clinical implementations and common pitfalls, offering a realistic view of what it takes to bring AI from research into everyday patient care. We will also discuss regulatory considerations, data privacy, and ethical implications to ensure safe adoption. Leave equipped to harness AI as your intelligent chairside partner: AI isn’t replacing your expertise, it’s amplifying it. Let’s build a smarter, more efficient future for Orthodontics together.


Learning Objectives
After this lecture, you will be able to identify evidence-based artificial intelligence (AI) tools that enhance diagnostic accuracy, streamline clinical workflows, and improve efficiency in orthodontic practice.
After this lecture, you will be able to apply practical strategies to integrate real-time AI for tasks such as bone-loss assessment, tooth-movement planning, documentation, and imaging analysis.
After this lecture, you will be able to evaluate the ethical considerations, clinical outcomes, and implementation steps necessary to safely and effectively adopt AI technologies in orthodontics.