05974nam 2201621z- 450 991057688590332120220621(CKB)5720000000008315(oapen)https://directory.doabooks.org/handle/20.500.12854/84502(oapen)doab84502(EXLCZ)99572000000000831520202206d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierPatient-Specific Implants in Musculoskeletal (Orthopedic) SurgeryBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (264 p.)3-0365-4248-5 3-0365-4247-7 Most of the treatments in medicine are patient specific, aren't they? So why should we bother with individualizing implants if we adapt our therapy to patients anyway? Looking at the neighboring field of oncologic treatment, you would not question the fact that individualization of tumor therapy with personalized antibodies has led to the thriving of this field in terms of success in patient survival and positive responses to alternatives for conventional treatments. Regarding the latest cutting-edge developments in orthopedic surgery and biotechnology, including new imaging techniques and 3D-printing of bone substitutes as well as implants, we do have an armamentarium available to stimulate the race for innovation in medicine. This Special Issue of Journal of Personalized Medicine will gather all relevant new and developed techniques already in clinical practice. Examples include the developments in revision arthroplasty and tumor (pelvic replacement) surgery to recreate individual defects, individualized implants for primary arthroplasty to establish physiological joint kinematics, and personalized implants in fracture treatment, to name but a few.Patient-Specific Implants in Musculoskeletal Medicine and Nursingbicssc3D planning3D printed prostheses3D printing3D-printed3D-printingarthroplastyaugmented realitybone defectsbone tumorcemented and uncemented acetabular fixationcenter of rotationcervical-diaphyseal anglecomplicationscomputer aided design pelvic reconstructionconecustom implantcustom made implantcustom-madecustom-made implantcustomiseddeep convolutional neural networkdeep learningdense residual ensemble-networkedge loadingfemoral J-Curvefinite element methodgeometric parameter analysishighly cancellouship detectionimage-guided surgeryimplant classificationimplant surfaceindividualindividualizedindividualized alignmentintraoperative imagingiTotalkinematic alignmentknee replacementleg alignmentleg length discrepancylimb salvagelimb-salvageliner thicknessMAKOmaterial headmegaendoprosthesismixed realityn/anative knee morphologynavigation-assisted surgeryoncologic orthopedicsorthopedic oncologyPaproskypartial knee arthroplastypartial knee replacementpatient safety managementpatient specificpatient specific implantpatient-specificpatient-specific implants (PSI)patient-specific instrumentspatient-specific THApelvic discontinuitypelvic tumorspelvispersonalisedpolyethylene wear patternspreoperative planningprincipal component analysisradiographyrange of motionrestricted kinematic alignmentreversed shoulder arthroplastyrevision hiprobotic-assisted TKArotationrotational correctionrotational invariant augmentationrTKAsafe zoneshoulder arthroplastysimulationsize headslopesoft tissue sarcomaspinal surgerytarget zoneThree-Dimensional Printing (3DP)tibiatitanium alloyTKAtotal hip arthroplastytotal knee arthroplastytotal knee replacementtricompartmental knee osteoarthritistumor orthopedicstumor surgeryUKAUKRunicompartmental knee replacementunicondylar knee arthroplastyunicondylar knee replacementvascular bypassvascular reconstructionX-ray imagesMedicine and NursingRudert Maximilianedt1326495Rudert MaximilianothBOOK9910576885903321Patient-Specific Implants in Musculoskeletal (Orthopedic) Surgery3037566UNINA03822nam 22005895 450 991091981850332120250312003816.09789819784837(electronic bk.)978981978482010.1007/978-981-97-8483-7(MiAaPQ)EBC31859407(Au-PeEL)EBL31859407(CKB)37081497800041(OCoLC)1493053199(DE-He213)978-981-97-8483-7(EXLCZ)993708149780004120241225d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDigital Twin Computing for Urban Intelligence /edited by Saeid Pourroostaei Ardakani, Ali Cheshmehzangi1st ed. 2024.Singapore :Springer Nature Singapore :Imprint: Springer,2024.1 online resource (261 pages)Urban Sustainability,2731-6491Print version: Pourroostaei Ardakani, Saeid Digital Twin Computing for Urban Intelligence Singapore : Springer,c2025 9789819784820 Embracing the Digital Twin Paradigm for Urban Sustainability -- Towards Sustainable Urban Rooftop Solar Energy Planning through Spatial Digital Twins Paradigm: A Systematic Literature Review -- Creating a Foundation for Spatial Digital Twins in Data-Scarce Regions through Open-Source Solutions -- Fusion of Digital Twin, Internet-of-Things and Artificial Intelligence for Urban Intelligence -- Building Resilient Smart Cities: The Role of Digital Twins and Generative AI in Disaster Management Strategy.Digital Twin Computing for Urban Intelligence focuses on new and ongoing discourses in interdisciplinary research and practice in urban system and smart city development pathways. It approaches digital twin fundamentals and principals including theoretical foundations, conceptualisations, strategies and services/patterns to define and adapt digital twin solutions for urban applications - mainly sustainability. This book highlights promising case studies and outlines digital twin design models and system architecture by examining key digital twin deployment practices such as data analysis, decision making, and service automation in the line with intelligent urban planning. It also emphasises on DT technologies such as cloud computing, AI, IoTs, and smart virtualisation and outlines the key benefits of the DT solutions in urban applications - mainly control and planning. This book is intended for a wide range of audiences, including interested layperson audiences, undergraduate and graduate students in university, and researchers. The key benefits of this book are: 1- To introduce the theoretical principles and fundamentals of DT computing for urban intelligence. 2- To present the state-of-the-art DT technologies in urban planning and control. 3- To describe the practical deployment process of DT computing solutions for urban sustainability and intelligence.Urban Sustainability,2731-6491Environmental geographyArtificial intelligenceSustainabilityIntegrated GeographyArtificial IntelligenceSustainabilityEnvironmental geography.Artificial intelligence.Sustainability.Integrated Geography.Artificial Intelligence.Sustainability.910Ardakani Saeid Pourroostaei1765855Cheshmehzangi Ali849626MiAaPQMiAaPQMiAaPQ9910919818503321Digital Twin Computing for Urban Intelligence4526335UNINA