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{{ArtBy|autore=Gianni Frisardi}} | {{ArtBy|autore=Gianni Frisardi}} | ||
'''Abstract:'''In this introductory chapter on Orofacial Pain and Temporomandibular Disorders (TMD), we reflect on the complex interplay of conditions like headaches, migraines, and neck pain, which are often comorbid with TMD. The pathophysiology of these disorders includes mechanisms such as neuronal convergence, central sensitization, and impairment of descending pain regulation. While TMDs can present with various symptoms, including myofascial pain, it is essential to approach the diagnosis with scientific rigor, mindful of potential uncertainties in measurement and interpretation. | |||
Central to this discussion is the introduction of machine language logic, a concept that goes beyond traditional verbal clinical reasoning. For instance, the phenomenon of Ephaptic Transmission was discovered in a patient who suffered for years from misdiagnosed pain, emphasizing the limitations of relying solely on verbal logic without deeper exploration of the underlying neurological mechanisms. | |||
Additionally, the chapter critiques the limitations of both classical and Bayesian statistical models when applied to clinical diagnostics. Although Bayesian statistics offer a probabilistic view, they may still fall short in predicting outcomes with absolute certainty, as demonstrated by the complexities in diagnosing TMD-related pain. The potential for quantum-like models to enhance our understanding of biological phenomena, especially in the realm of cognitive and neurological disorders, is also introduced. | |||
The conclusion asserts that orofacial pain, particularly when associated with TMD, requires a nuanced and critical diagnostic approach. The differential diagnosis between Orofacial Pain from Temporomandibular Disorders and Orofacial Pain from Oromandibular Dystonia can be particularly challenging. To elucidate this complexity, the presentation of two clinical cases is proposed, highlighting key methodological and clinical factors necessary for accurate and swift diagnosis. | |||
===Introduction=== | ===Introduction=== |
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