Abstract

Dental malocclusion, characterized by misalignment or improper relation between dental arches, presents challenges in oral health and functionality. This research investigates algorithmic approaches to mitigate malocclusion, emphasizing orthodontic and surgical interventions. By analyzing diverse case studies and clinical data, this study elucidates the efficacy of algorithm-guided treatments in reducing malocclusion severity and associated risks, including tooth decay and temporomandibular joint dysfunction. Insights garnered from this research illuminate the potential of algorithmic techniques in enhancing dental health outcomes and refining malocclusion correction protocols.