Modifica di System logic (sezione)

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{{ArtBy|
| autore = Gianni Frisardi
| autore2 = Giorgio Cruccu
| autore3 = Alice Bisirri
| autore4 = Pier Paolo Valentini
| autore5 = Flavio Frisardi
| autore7 = Irene Minciacchi
}}

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'''Abstract:''' The transition to "System Logic" in medical science, particularly within the dental field, is guided by two fundamental elements: dental clinical indices and the logic of medical language. Clinical indices, such as the Henderson-Hasselbalch equation, offer objective reference points critical for accurate diagnoses, yet their validity is often debated. While indices provide measurable data, subjective interpretations have historically influenced clinical outcomes. In orthodontics, indices like the Peer Assessment Rating (PAR) have been adopted to assess treatment success, but concerns arise over their ability to fully capture the complexity of dental occlusion and function.

The logic of medical language also faces scrutiny for its limitations in addressing the dynamic, complex nature of living systems. Classical logic and probabilistic models, while useful, often fall short when dealing with the uncertainties inherent in medical diagnoses. This has led to the introduction of "fuzzy logic" as a more flexible approach that can handle gradations of truth and uncertainty in clinical decision-making.

Furthermore, this work delves into Systems Theory as a framework for understanding biological and clinical phenomena. The masticatory system is examined through this lens, using electrophysiological tests such as Root-MEPs (Motor Evoked Potentials) to demonstrate the practical application of systems logic. By integrating bioengineering models with clinical practice, this approach aims to enhance diagnostic accuracy, reduce errors, and allow for early detection of pathologies, thereby improving patient outcomes.