AI For Diagnosis in Orthodontics

This work was developed to address the growing need for a comprehensive guide that translates complex computational algorithms into actionable clinical insights. As the volume of orthodontic data expands at an unprecedented rate, the human capacity for real-time synthesis is increasingly challenged. AI, specifically through machine learning and deep architecture, serves as a vital technological partner—not to replace the practitioner, but to refine diagnostic accuracy, automate exhaustive analytical tasks, and uncover patterns within data that were previously inaccessible.