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A Comprehensive Approach to Diagnosing Temporomandibular Joint Diseases: AI-driven TMD Diagnostic System

Quantitative Methods 2024-02-07 v1 Image and Video Processing
Authors: Y. Gua , C. T. Kong , D. D Zhangc , Y. J Baid , J. K. H. Tsoia , Hua Huangc , Y. Q. Dengc , Y. M Zhue
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Abstract

AI-driven TMD diagnostic system uses AI segmentation method to diagnose Temporomandibular Joint Disorders (TMD). By using segmentation, three important parts: temporal bone, temporomandibular joint (TMJ) disc and the condyle can be identified. The location and the size of each segment are used as the basic information to determine if the patient has a high chance of having Temporomandibular Joint Disorders (TMD).

Keywords

temporomandibular joint disorders AI-driven diagnosis segmentation temporal bone TMJ disc condyle

Cite

@article{arxiv.2402.03397,
  title  = {A Comprehensive Approach to Diagnosing Temporomandibular Joint Diseases: AI-driven TMD Diagnostic System},
  author = {Y. Gua and C. T. Kong and D. D Zhangc and Y. J Baid and J. K. H. Tsoia and Hua Huangc and Y. Q. Dengc and Y. M Zhue},
  journal= {arXiv preprint arXiv:2402.03397},
  year   = {2024}
}

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