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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…mehr

Produktbeschreibung
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.
Autorenporträt
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.