Abstract

Temporomandibular disorders (TMD) constitute a highly prevalent and heterogeneous group of conditions with significant functional, psychological, and socioeconomic impacts. Despite decades of research and the introduction of standardized clinical frameworks such as the Diagnostic Criteria for Temporomandibular Disorders (DC/TMD), the clinical management of TMD remains marked by diagnostic uncertainty, variable treatment strategies, and variable outcomes. In this context, artificial intelligence (AI) has emerged not merely as a diagnostic tool, but as a potential catalyst for redefining how TMD are understood, classified, and managed across the clinical continuum.

Keywords

• Temporomandibular disorders
• Artificial inteligence

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• Temporomandibular Disorders

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