Abstract
This presentation explores the transformative impact of Artificial Intelligence (AI) on specialist orthodontic practice, moving from traditional manual analysis toward a data-driven, predictive paradigm. We will examine the current clinical landscape where AI-driven tools now automate labor-intensive tasks such as cephalometric landmarking, 3D image segmentation, and skeletal maturation assessment with accuracy levels comparable to expert clinicians. The session further details how machine learning models assist in complex decision-making for extractions and orthognathic surgery while optimizing biomechanical force application through advanced tooth-movement simulations. Looking toward the future, we will discuss the shift into "Predictive Orthodontics," where deep learning algorithms identify early markers for risks like root resorption and periodontal deterioration. By integrating AI with real-time remote monitoring, practitioners can transition from static treatment milestones to dynamic, adaptive management based on individual biological responses. Ultimately, this session highlights how AI serves as a sophisticated decision-support system that enhances diagnostic precision, streamlines workflows, and improves treatment predictability while maintaining the essential role of clinical oversight.
