6.1 Mechanical Properties of Bone Tissue from CT Scans
6.1.1 Hounsfield Units to Density
6.1.2 Cortical Bone
6.1.3 Cancellous Bone
6.2 Muscle Forces and other Boundary Conditions
6.3 Concluding Remarks
References
7 Artificial Intelligence, Machine Learning, and Neural Network
Abstract
7.1 Fuzzy Logic
7.2 Machine Learning and Neural Network
7.2.1 Predicting the Osseointegration Process
7.2.2 Design Optimization
7.2.3 Bone Healing and Remodeling
7.3 Concluding Remarks
References
Dr. Andy H. Choi is an early career researcher who received his Ph.D. from the University of Technology Sydney (UTS) in Australia in 2004 on the use of computer modeling and simulation known as finite element analysis (FEA) to examine the biomechanical behavior of implants installed into a human mandible. After completing his Ph.D., he expanded his research focus from FEA to sol–gel synthesis of multifunctional calcium phosphate nano-coatings and nanocomposite coatings for dental and biomedical applications.
In late 2010, Dr. Choi was successfully awarded the internationally competitive Endeavour Australia Cheung Kong Research Fellowship Award and undertook postdoctoral training at the Faculty of Dentistry of the University of Hong Kong focusing on the application of FEA in dentistry and the development of calcium phosphate nano-bioceramics.
He is currently serving as an associate editor for the Journal of the Australian Ceramic Society and as an editor for a number of dentistry-related journals. In addition, he is also serving as an editorial board member for several dentistry, nanotechnology, and orthopedics journals. To date, Dr. Choi has published over 50 publications including 5 books and 30 chapters on calcium phosphate, nano-biomaterial coatings, sol–gel technology, marine structures, drug delivery, tissue engineering, and finite element analysis in nanomedicine and dentistry.
This book provides an insight into the latest advances in bone fracture healing and remodeling algorithm and their incorporation into patient-specific finite element models and the use of machine learning and artificial intelligence to predict the bone regeneration and osseointegration process with a certain degree of accuracy. It also examines the applications of numerical models to simulate the fracture healing process, which may prove to be advantageous in determining the optimal mechanical-based treatment or reconstruction after an accident or illness. This book is aimed at medical and dental professionals who are involved in implantology and tissue engineering such as dentists, oral and maxillofacial surgeons, orthopedic surgeons, students, and researchers.