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. 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. Provides a broad introduction to the subject; · Offers extensive coverage and ideas for furthering THA advancements and research; Explores the most recent engineering and computing techniques in THA. E 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