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This chapter presents an integrative perspective on the application of AI in understanding the complex interplay between facial trauma, oral health, and systemic diseases such as diabetes and cardiovascular risk. Leveraging tensor decomposition and fuzzy recurrence plots, we model multifactorial health data to uncover latent structures and bidirectional associations. The analysis links tooth loss to coronary artery calcium scores, emphasizing the capacity of AI for predictive modeling using generalized additive models. Additionally, a k-nearest neighbor approach reveals nuanced relationships among oral health, diabetes, and cardiovascular disease. This integrative AI framework highlights the potential of multimodal data fusion to improve diagnostics, risk stratification, and personalized care in craniofacial and systemic health contexts.

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AI in Integrating Facial Trauma, Oral Health, and Systemic Diseases

  • 章节

  • 发表日期：

    2026年

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  • Tuan D. Pham,
  • Simon Holmes,
  • Domniki Chatzopoulou,
  • Paul Coulthard

摘要

This chapter presents an integrative perspective on the application of AI in understanding the complex interplay between facial trauma, oral health, and systemic diseases such as diabetes and cardiovascular risk. Leveraging tensor decomposition and fuzzy recurrence plots, we model multifactorial health data to uncover latent structures and bidirectional associations. The analysis links tooth loss to coronary artery calcium scores, emphasizing the capacity of AI for predictive modeling using generalized additive models. Additionally, a k-nearest neighbor approach reveals nuanced relationships among oral health, diabetes, and cardiovascular disease. This integrative AI framework highlights the potential of multimodal data fusion to improve diagnostics, risk stratification, and personalized care in craniofacial and systemic health contexts.