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Digital orthodontics represents a paradigm shift in the diagnosis and management of malocclusion, driven by the integration of advanced imaging modalities, artificial intelligence (AI), and streamlined digital workflows. Three-dimensional (3D) imaging, including cone-beam computed tomography (CBCT) and intraoral scanning, has significantly enhanced diagnostic accuracy by providing detailed visualization of craniofacial structures, dental anatomy, and airway relationships.Artificial intelligence further augments clinical decision-making by enabling automated landmark identification, growth prediction, and treatment outcome simulation. Machine learning algorithms assist in analyzing large datasets, improving diagnostic precision and reducing human error. Digital workflows integrate data acquisition, analysis, treatment planning, and appliance fabrication into a seamless process, enhancing efficiency and reproducibility in orthodontic practice.
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