LEADER 03924nam 22006375 450 001 9910887884303321 005 20240916130223.0 010 $a3-031-64932-X 024 7 $a10.1007/978-3-031-64932-5 035 $a(MiAaPQ)EBC31679753 035 $a(Au-PeEL)EBL31679753 035 $a(CKB)35805054600041 035 $a(DE-He213)978-3-031-64932-5 035 $a(EXLCZ)9935805054600041 100 $a20240916d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSystems Orthodontics $eFrom Clinical Reasoning to Computation, and Back /$fby Pietro Auconi, Guido Caldarelli, Antonella Polimeni 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (165 pages) 225 1 $aUnderstanding Complex Systems,$x1860-0840 311 $a3-031-64931-1 327 $aIntroduction -- Seeing the Invisible -- Biological Constraints -- Physical Constraints -- Personalised Orthodontics -- Perspectives. 330 $aThis book marks one of the first applications of the Medicine Network discipline to an everyday scenario. It explores situations where patients, often in adolescence, grapple with the decision of whether to commence a treatment, seeking insights into the more plausible future scenarios. Additionally, the specific feedback from biological systems in the human body serves as a potent metaphor for addressing various challenges in the field of Complex Systems. In recent times, systems thinking and complexity theory have yielded substantial conceptual advancements across various research domains. In the context of orthodontics, these approaches offer a more comprehensive understanding in contrast to the traditional mechanistic approach, which primarily focuses on the analysis of applied forces. Systems thinking directs attention to the interaction among dentoskeletal components, where the behavior of one element can influence others. The amalgamation of multiple elements leads to entities with properties distinct from those of individual components. The increasing complexity of orthodontic reality beyond clinical or radiological observations necessitates the development of new theories. Complexity theory has demonstrated that emergent properties in biological systems can be discerned through appropriate computational models, as opposed to the analytical study of individual components. The central metaphor for the interactive craniofacial system during growth is portrayed by the facial topology revealed through network analysis, facilitating a systemic reevaluation of traditional orthodontic theories. This book delineates the novel insights derived from the clinical-computational approach, applicable for a prognostic and early interception perspective in managing dentofacial dysmorphoses. Its objective is to captivate practitioners and persuade them of the practical utility of these innovative approaches. 410 0$aUnderstanding Complex Systems,$x1860-0840 606 $aSystem theory 606 $aDentistry 606 $aMedical physics 606 $aMachine learning 606 $aComplex Systems 606 $aDentistry 606 $aMedical Physics 606 $aMachine Learning 615 0$aSystem theory. 615 0$aDentistry. 615 0$aMedical physics. 615 0$aMachine learning. 615 14$aComplex Systems. 615 24$aDentistry. 615 24$aMedical Physics. 615 24$aMachine Learning. 676 $a530.1 700 $aAuconi$b Pietro$0556694 701 $aCaldarelli$b Guido$0310392 701 $aPolimeni$b Antonella$01243459 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910887884303321 996 $aSystems Orthodontics$94254605 997 $aUNINA