View source for The logic of the classical language

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{{ArtBy|
| autore = Gianni Frisardi
| autore2 = Riccardo Azzali
| autore3 = Flavio Frisardi
}}
'''Abstract:''' This chapter explores the complexities of medical language, particularly within the context of diagnosis and treatment of Temporomandibular Disorders (TMD) and Orofacial Pain (OP). Medical language often leads to misunderstandings due to its hybrid nature, blending everyday language with specialized terms, which can be interpreted differently across medical disciplines. This is exemplified in the clinical case of Mary Poppins, who has suffered from OP for over a decade, with conflicting diagnoses from a dentist and a neurologist. The dentist diagnosed her with TMD based on clinical tests like axiography, electromyography (EMG), and radiographic imaging, while the neurologist attributed her pain to a neuromotor disorder (nOP).

The chapter examines how classical logic language, used in traditional medical diagnostics, supports the dentist's diagnosis, focusing on the compatibility of evidence like condylar remodeling and masticatory muscle activity. However, the chapter also highlights the limitations of this approach, showing that new electrophysiological data could challenge the dentist’s assumptions and open the door to different interpretations of OP’s origins.

In light of this, the chapter introduces the concept of "system logic language," which moves beyond cause-and-effect models to consider the masticatory system as a complex, dynamic entity. This perspective encourages a more nuanced understanding of patient conditions, recognizing that symptoms may not always align neatly with classical diagnostic frameworks. By analyzing Mary Poppins' case through both classical and system logic, the chapter calls for a reevaluation of medical language and diagnostic approaches, proposing a shift toward probabilistic and interdisciplinary methods for more accurate diagnoses.

Ultimately, this chapter suggests that a deeper understanding of medical language and logic can improve clinical decision-making, reduce diagnostic errors, and foster a more comprehensive approach to patient care.