Data Driven Analytics in Orofacial Pain

Orofacial pain is one of the most common conditions in dentistry affecting up to 25% of the population. It influences the patient’s quality of life creating an enormous burden for healthcare systems globally. Diagnostics is challenging since there is no clear definition and treatment options are few, often with a poor outcome requiring multidisciplinary collaborations. The etiology is complex and multifactorial and can be divided by odontogenic and non-odontogenic origin. The clinical presentation often includes biological, psychological, social, behavioral, and belief system.

The objectives for this Research Topic are the following:

• What is the current status of research within orofacial pain
• Future research within orofacial pain
• Research/analytic/visualization methods available today in orofacial pain
• Research/analytic/visualization methods of the future in orofacial pain
• International collaborations within orofacial pain

Authors are welcome to contribute with manuscripts regarding the following areas of orofacial pain with focus on data driven analytics:

• Trigeminal neuralgia
• Glossopharyngeal neuralgia
• Postherpetic neuralgia
• Temporomandibular disorders

Keywords: Orofacial Pain, Pain, Artificial intelligence, Deep learning, Data driving analysis, Dental Medicine

Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.