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020 _a9783031649325
_9978-3-031-64932-5
024 7 _a10.1007/978-3-031-64932-5
_2doi
050 4 _aQ295
072 7 _aGPFC
_2bicssc
072 7 _aSCI064000
_2bisacsh
072 7 _aGPFC
_2thema
100 1 _aAuconi, Pietro.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984351
245 1 0 _aSystems Orthodontics
_h[electronic resource] :
_bFrom Clinical Reasoning to Computation, and Back /
_cby Pietro Auconi, Guido Caldarelli, Antonella Polimeni.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aVIII, 161 p. 25 illus., 17 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUnderstanding Complex Systems,
_x1860-0840
505 0 _aIntroduction -- Seeing the Invisible -- Biological Constraints -- Physical Constraints -- Personalised Orthodontics -- Perspectives.
520 _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.
650 0 _aSystem theory.
_966519
650 0 _aDentistry.
_971230
650 0 _aMedical physics.
650 0 _aMachine learning.
_955059
650 1 4 _aComplex Systems.
_966520
650 2 4 _aDentistry.
_971230
650 2 4 _aMedical Physics.
650 2 4 _aMachine Learning.
_955059
700 1 _aCaldarelli, Guido.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984352
700 1 _aPolimeni, Antonella.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984353
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031649318
776 0 8 _iPrinted edition:
_z9783031649332
776 0 8 _iPrinted edition:
_z9783031649349
830 0 _aUnderstanding Complex Systems,
_x1860-0840
_967707
856 4 0 _uhttps://doi.org/10.1007/978-3-031-64932-5
912 _aZDB-2-PHA
912 _aZDB-2-SXP
999 _c63407
_d63407