Total Hip Arthroplasty: Medical and Biomedical Engineering and Science Concepts provides an extensive overview of the most recent advancements in total hip arthroplasty (THA) through a thorough review of the literature in medicine, engineering, mathematics, computing, and related technologies. Coverage includes the most recent engineering and computing techniques such as robotics, biomechanics, artificial intelligence, and optimization, as well as the medical and surgical aspects of pre-existing conditions, surgical procedure types, postoperative complications, and patient care. This book will be a valuable introductory reference for academics, students, and researchers to THA concepts and advances.
Cuprins
Foreword.- Part 1: Medical and Surgical Aspects of Total Hip Arthroplasty.- Pre-existing Conditions of Total Hip Arthroplasty.- Surgical Approaches for Total Hip Arthroplasty.- Total Hip Arthroplasty Approach Comparisons.- Postoperative Total Hip Arthroplasty Complications.- Patient Care Upon Total Hip Arthroplasty Completion.- Medicare of Total Hip Arthroplasty.- Part 2: Biomedical Engineering Aspects of Total Hip Arthroplasty.- Biomechanics of Total Hip Arthroplasty.- All-inclusive Impact of Robotics Applications on Total Hip Arthroplasty: Overall Impact of Robotics on Total Hip Arthroplasty Patients From Manufacturing of Implants to Recovery After Surgery.- Optimization for Total Hip Arthroplasty Applications.- Biomechanical Success of Traditional Versus Robotics-assisted Total Hip Arthroplasty.- Artificial Intelligence, Deep Learning, and Machine Learning Applications in Total Hip Arthroplasty.- Advancing Engineering of Total Hip Arthroplasty.- Glossary.
Despre autor
Emre Tokgoz 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 a MA in Mathematics at the University of Oklahoma. He also completed an MS in Mathematics and a BA in Mathematics at the University of Ankara, Turkey. He completed this book during his Applied Biomedical Engineering master’s degree completion at Johns Hopkins University in 2022. His research, publication, and teaching areas included pedagogy, Optimization, Biomedical Engineering, Robotics, Game Theory, Network analysis, financial engineering, Facility allocation, Inventory systems, Queueing theory analysis, Supply chain – renewable energy sources, STEM education, Machine, and Deep learning, and Riemannian geometry.Contributions by Alessia Truden
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