Total Knee Arthroplasty (eBook)

A Review of Medical and Biomedical Engineering and Science Concepts
eBook Download: PDF
2023 | 2023
XI, 267 Seiten
Springer Nature Switzerland (Verlag)
978-3-031-31100-0 (ISBN)

Lese- und Medienproben

Total Knee Arthroplasty - Emre Tokgoz, Sarah Levitt, Diana Sosa, Nicholas A. Carola, Vishal Patel
Systemvoraussetzungen
117,69 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

Total Knee Arthroplasty: Medical and Biomedical Engineering and Science Concepts provides an extensive overview of the most recent advancements in total knee arthroplasty (TKA) through a thorough review of the literature in medicine, engineering, and technology. Coverage includes the most recent engineering and computing techniques, such as robotics, biomechanics, artificial intelligence (AI), deep learning (DL), machine learning (ML), and optimization, as well as the medical and surgical aspects of pre-existing conditions, surgical procedure types, surgical complications, patient care, and psychological factors. This book will be a valuable introduction to TKA concepts and advances for academics, students, and researchers.



Emre Tokgoz, Ph.D., is currently the Director and an Associate Professor of Industrial Engineering at Quinnipiac University. He completed a Ph.D. in mathematics, a Ph.D. in industrial engineering, an MS in computer science, and an MA in mathematics at the University of Oklahoma. He also completed an MS and a BA in mathematics at the University of Ankara, Turkey. Due to his interest in biomedical engineering applications of mathematics and engineering, he started to pursue an online biomedical engineering master's degree for professionals at Johns Hopkins University. Dr. Tokgoz is the author of the book Total Hip Arthroplasty: Medical and Biomedical Engineering and Science Concepts (Springer, 2023). His research interests include nonlinear optimization, deep/machine learning, financial engineering, facility allocation problems, vehicle routing problem, solar energy systems, system design and improvement, network analysis, inventory systems, and Riemannian geometry.

Sarah Levitt is a medical student at the Frank H. Netter School of Medicine at Quinnipiac University. Sarah received her undergraduate degree from Williams College, where she majored in biology with a concentration in biochemistry, molecular biology, and environmental studies. Before attending medical school, she researched genetics at Princeton University, where she wrote a paper about chromosomal architecture.

Diana Sosa is a medical student at the Frank H. Netter School of Medicine at Quinnipiac University. She completed her Bachelor of Arts in comparative human development at the University of Chicago.

Nicholas Carola is a medical student at the Frank H. Netter MD School of Medicine at Quinnipiac University. He graduated from the University of Chicago with a BA in biological sciences and a specialization in endocrinology. During his time as an undergraduate he participated in orthopedic clinical database research.  

Vishal Patel is a medical student at the Frank H. Netter School of Medicine at Quinnipiac University. He received BS degrees in physiology & neurobiology and healthcare management from the University of Connecticut and his MBA from the University of Tennessee.

Erscheint lt. Verlag 28.6.2023
Zusatzinfo XI, 267 p. 1 illus.
Sprache englisch
Themenwelt Sachbuch/Ratgeber Sport
Medizin / Pharmazie Medizinische Fachgebiete Orthopädie
Technik Maschinenbau
Schlagworte Artificial Intelligence in Knee Arthroplasty • Biomechanics • Deep Learning in Knee Arthroplasty • Knee Replacement Patient Care • Knee Replacement Rehabilitation • Machine Learning in Knee Arthroplasty • orthopedic biomechanics • robotic surgery • Total knee arthroplasty (TKA) • Total Knee Replacement (TKR)
ISBN-10 3-031-31100-0 / 3031311000
ISBN-13 978-3-031-31100-0 / 9783031311000
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 11,8 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich