04298nam a22005895i 4500 978-3-031-64932-5 DE-He213 20251030113044.0 cr nn 008mamaa 240916s2024 sz | s |||| 0|eng d 9783031649325 978-3-031-64932-5 10.1007/978-3-031-64932-5 doi Q295 GPFC bicssc SCI064000 bisacsh GPFC thema Auconi, Pietro. author. aut http://id.loc.gov/vocabulary/relators/aut 84351 Systems Orthodontics [electronic resource] : From Clinical Reasoning to Computation, and Back / by Pietro Auconi, Guido Caldarelli, Antonella Polimeni. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. VIII, 161 p. 25 illus., 17 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Understanding Complex Systems, 1860-0840 Introduction -- Seeing the Invisible -- Biological Constraints -- Physical Constraints -- Personalised Orthodontics -- Perspectives. This book marks one of the first applications of the Medicine Network discipline to an everyday scenario. It explores situations where patients, often in adolescence, grapple with the decision of whether to commence a treatment, seeking insights into the more plausible future scenarios. Additionally, the specific feedback from biological systems in the human body serves as a potent metaphor for addressing various challenges in the field of Complex Systems. In recent times, systems thinking and complexity theory have yielded substantial conceptual advancements across various research domains. In the context of orthodontics, these approaches offer a more comprehensive understanding in contrast to the traditional mechanistic approach, which primarily focuses on the analysis of applied forces. Systems thinking directs attention to the interaction among dentoskeletal components, where the behavior of one element can influence others. The amalgamation of multiple elements leads to entities with properties distinct from those of individual components. The increasing complexity of orthodontic reality beyond clinical or radiological observations necessitates the development of new theories. Complexity theory has demonstrated that emergent properties in biological systems can be discerned through appropriate computational models, as opposed to the analytical study of individual components. The central metaphor for the interactive craniofacial system during growth is portrayed by the facial topology revealed through network analysis, facilitating a systemic reevaluation of traditional orthodontic theories. This book delineates the novel insights derived from the clinical-computational approach, applicable for a prognostic and early interception perspective in managing dentofacial dysmorphoses. Its objective is to captivate practitioners and persuade them of the practical utility of these innovative approaches. System theory. 66519 Dentistry. 71230 Medical physics. Machine learning. 55059 Complex Systems. 66520 Dentistry. 71230 Medical Physics. Machine Learning. 55059 Caldarelli, Guido. author. aut http://id.loc.gov/vocabulary/relators/aut 84352 Polimeni, Antonella. author. aut http://id.loc.gov/vocabulary/relators/aut 84353 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031649318 Printed edition: 9783031649332 Printed edition: 9783031649349 Understanding Complex Systems, 1860-0840 67707 https://doi.org/10.1007/978-3-031-64932-5 ZDB-2-PHA ZDB-2-SXP 63407 63407