Artificial Intelligence in the Diagnosis of Bruxism

Artificial intelligence (AI) has recently brought significant changes to various areas of dentistry. To avoid random errors, insufficient data, and clinical difficulties, AI has taken the lead in advancing this field. AI is now employed in numerous dentistry tools and software to screen for anomalies, notably bruxism. Bruxism is particularly challenging to diagnose before its harmful consequences become established, resulting in 90% of related disorders going untreated. Traditional methods for detecting bruxism are time-consuming, impractical, and costly, prompting the recent adoption of AI for diagnostics. AI offers innovative solutions, leading to the development of practical, ambulatory screening devices that are affordable, easy to handle, and non-invasive, providing additional diagnostic advantages. The integration of AI has revolutionized bruxism diagnosis, significantly enhancing early detection and management of this disorder. This work introduces bruxism and its conventional diagnostic tools, focusing on AI's role and new technologies in improving early detection and prognosis, ultimately aiming to advance diagnostic practices in this crucial area of oral health.

Autorentext
Rihab DAKHLI is a specialized dentist; she is working in the department of Fixed Prosthodontics, Faculty of Dental Medicine, University of Monastir, Tunisia. Her Research mainly focuses on implantology and prosthodontics. She has published many books and articles in indexed journals.