Your place is waiting for you!
Register today and take advantage of the Reduced Registration Fee until September 13!
Abstract
AI Does Not Treat Open Bites, Orthodonrtist Does
Aligner Biomechanics, Digital Planning and Case Selection for Vertical Correction
Artificial intelligence and automated digital setups have streamlined aligner treatment planning, but anterior open bite remains a demanding indication because vertical correction depends on patient-specific biomechanics, material behavior, occlusal function, and etiology. Current evidence suggests that open-bite closure with clear aligners is generally achieved through a combined pattern of incisor extrusion and posterior intrusion, often with a variable contribution of mandibular autorotation. At the same time, predicted-to-achieved comparisons indicate that virtual simulations may overestimate vertical changes, supporting the need for clinician-driven staging refinement, targeted overcorrection, and proactive side-effect management. This lecture proposes a pragmatic case-selection protocol to identify the “ideal aligner open-bite candidate,” organized into four decision layers:
(1) Phenotype and severity: predominantly dentoalveolar open bite, mild-to-moderate magnitude, limited skeletal vertical excess, and acceptable divergence/vertical dimension.
(2) Etiology and function: absence of uncontrolled habits; systematic screening of tongue posture/thrust and airway-related compensations, with coordinated management when indicated to support stability.
(3) Biomechanical feasibility: planned anchorage distribution; attachment design to enhance vertical force expression; staging strategies that protect posterior control while meeting anterior extrusion demands; and predefined management of common side effects (posterior open-bite tendency, occlusal interferences, torque loss).
(4) Compliance and retention: reliable wear-time and a retention plan integrated from the start (often combining thermoformed and bonded retention in higher-risk patterns).
Clinical cases will illustrate how AI-enabled planning becomes clinically meaningful only when the orthodontist designs and verifies the vertical force system, respects anatomical limits, and selects cases where aligner biomechanics can deliver predictable correction and long-term stability.
