Temporomandibular Joint Disc and Artificial Intelligence: A Systematic Review

Oussama Abali, Abdlekrim Daoudi, Aissa Kerkour Elmiad

Abstract

Background: The integration of artificial intelligence (AI) in healthcare is rapidly expanding with significant advancements in the field of medical imaging. This review aimed to systematically evaluate the current research on the application of various AI models in the assessment of the articular disc of the temporomandibular joint, a crucial component of the anatomy and physiology of the joint. Methods: A comprehensive literature search was conducted across multiple databases, including PubMed, Web of Science, Scopus, ScienceDirect, Springer, and Google Scholar for articles published between 1982 and 2024 that focused on the intersection of articular disc pathologies and AI technologies. A total of 175 studies were identified, of which 18 were selected for in-depth review. These studies encompassed a cohort of over 4,834 patients, including controls and individuals with articular disc displacement, and analyzed more than 36,000 imaging datasets. Results: Most of the selected studies employed magnetic resonance imaging (MRI), which is regarded as the gold standard for visualizing articular disc conditions, either in isolation or alongside other imaging modalities. A variety of AI methodologies have been identified, including machine learning techniques such as Random Forest, XGBoost, K-Nearest Neighbors (KNN), and Support Vector Machines (SVM), as well as deep learning architectures such as Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), U-Net, SegNet, and ResNet 34. Conclusions: The application of AI in the evaluation of articular disc displacement has demonstrated significant potential for enhancing diagnostic accuracy and facilitating personalized treatment strategies. These findings underscore the transformative impact of AI on traditional diagnostic practices, suggesting a promising future for the management of articular disc disorders in the clinical setting.


Keywords: Temporomandibular joint, articular disc, artificial intelligence

 


 

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References


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