This chapter explores future directions in orofacial and head pain imaging, emphasizing the integration of advanced imaging modalities, artificial intelligence (AI), and multimodal data analytics. Topics include AI-assisted diagnosis, functional imaging (fMRI, DTI), radiomics, non-ionizing modalities, wearable monitoring devices, and “omics” data integration for personalized care. Ethical, privacy, cost, and training considerations are addressed, alongside the potential for interdisciplinary collaboration. By combining predictive algorithms, real-time monitoring, and comprehensive patient profiling, these innovations aim to improve diagnostic accuracy, guide individualized interventions, and enhance long-term patient outcomes.

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Future Directions in Orofacial and Head Pain Imaging

  • Kaan Orhan,
  • Gurkan Unsal

摘要

This chapter explores future directions in orofacial and head pain imaging, emphasizing the integration of advanced imaging modalities, artificial intelligence (AI), and multimodal data analytics. Topics include AI-assisted diagnosis, functional imaging (fMRI, DTI), radiomics, non-ionizing modalities, wearable monitoring devices, and “omics” data integration for personalized care. Ethical, privacy, cost, and training considerations are addressed, alongside the potential for interdisciplinary collaboration. By combining predictive algorithms, real-time monitoring, and comprehensive patient profiling, these innovations aim to improve diagnostic accuracy, guide individualized interventions, and enhance long-term patient outcomes.