Research progress on the application of finite element analysis combined with Raman spectroscopy multimodal technology in periodontal tissue trauma

Periodontal trauma refers to the pathological damage or abnormal alterations of periodontal tissue caused by a variety of factors, involving a complex physical–chemical–biological coupling mechanism. Its accurate diagnosis, evaluation, and repair are essential for the recovery of oral function and long-term prognosis. The traditional single technique cannot accurately reflect the status of periodontal tissue due to limitations such as incomplete mechanical characterization or missing biological information. Finite element analysis improves the accuracy of physical simulation through the development of a finite element constitutive model, multi-physics coupling, finite element dynamic analysis, and multi-scale modeling. Based on the molecular chemical composition and microenvironment information of periodontal tissue obtained by inelastic light scattering molecular vibration “fingerprinting,” Raman spectroscopy can be used to detect the conformational changes of collagen, mineralization gradient, and inflammatory molecular markers after trauma. Raman spectroscopy can detect microscopic damage earlier than traditional detection methods. The application of finite element analysis or Raman spectroscopy alone can only be used in physical simulation, such as stress-strain analysis or molecular chemical detection of periodontal tissue trauma, and its function is relatively limited. However, the combination of the two modalities combined with AI (artificial intelligence) can analyze the biomechanical mechanism, molecular pathological changes, and dynamic repair process of periodontal tissue trauma, and it has clinical application advantages such as early accurate diagnosis of disease and personalized treatment optimization. The combined application of finite element analysis and Raman spectroscopy in the study of periodontal trauma is still in its infancy; studies have experienced issues with multimodal data fusion, clinical validation, and a lag in real-time feedback. In future work, it will be necessary to combine AI to optimize the efficiency of models, break through disciplinary barriers, and focus on multi-scale data fusion and clinical application, and expand interdisciplinary technology integration. This article focuses on the research progress of finite element analysis, Raman spectroscopy, and their combined multimodal techniques in the application of periodontal tissue trauma, and proposes a type of finite element analysis–Raman spectroscopy multimodal technology supplemented with AI.