Bruxism, characterized by involuntary clenching or grinding of teeth, affects approximately 10% - 20% of adults globally and has significant implications for dental and systemic health. Emerging AI-driven diagnostic tools have demonstrated a 25% improvement in identifying nocturnal bruxism compared to conventional methods. This study explores the etiology, pathogenesis, and treatment modalities of bruxism, integrating cutting-edge advancements like neuromodulation and personalized medicine. Furthermore, socioeconomic factors and access disparities are analyzed to propose comprehensive strategies for improving patient outcomes. Current management strategies include behavioral therapies, orthodontic appliances, pharmacological interventions, physical therapy, and, in severe cases, surgical options. Emerging technologies, such as artificial intelligence, personalized medicine, and neuromodulation, are highlighted as promising advancements in bruxism diagnosis and treatment. Additionally, the study underscores the socioeconomic and ethical dimensions of bruxism care, advocating for interdisciplinary collaboration, patient education, and equitable access to innovative treatments. This research aims to contribute to improved understanding and management of bruxism, enhancing patient outcomes and quality of life.
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