Cosmetic and Reconstructive Facial Plastic Surgery: Medical and Biomedical Engineering and Science Concepts provides an extensive overview of the most recent technological advancements in facial plastic and reconstructive surgeries and head and neck surgery through a thorough review of the literature in biomedical engineering, technology, and medicine. 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 medical and scientific methods, surgical and non-surgical procedure types, complications, patient care, and psychological factors. This book will be a valuable introduction to concepts and advances for otorhinolaryngology, biomedical researchers, academics, and students.
Tabla de materias
Non-Surgical Aesthetic Procedures of the Face.- Aesthetic Surgical Augmentation of the Upper Face and Cheeks.- Aesthetic Surgical Augmentation of the Nose and Lower Face.- Surgical Reconstruction of Craniofacial Malformations.- Reconstructive Facial Surgery: Burns, Trauma, Oncoplastic Repair.- Future Directions for Surgical Advancements.- Cosmetic & Reconstructive Facial Plastic Surgery Related Simulation & Optimization Efforts.- Biomechanics of Facial Plastic Surgery Applications.- Applications of Artificial Intelligence, Machine Learning, and Deep Learning on Facial Plastic Surgeries.- Robotics Applications in Facial Plastic Surgeries.- Engineering Psychology of Facial Plastic Surgery Patients.- Technological Improvements in Facial Plastic, Head and Neck Procedures.
Sobre el autor
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 M.S. in Computer Science, and an M.A. in mathematics at the University of Oklahoma. He also completed an M.S. and a B.A. 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. His other 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.
Diana Sosa Marina Carro is pursuing a medical doctorate at Quinnipiac University’s Frank H. Netter MD School of Medicine. She graduated from the University of Rhode with a cell and molecular biology and biochemistry degree and worked as a research and teaching assistant. She is currently working as a patient care technician at South County Health Hospital in Wakefield, RI.
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