TY - GEN N2 - 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. DO - 10.1007/978-981-99-1425-8 DO - doi AB - 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. T1 - Bone remodeling and osseointegration of implants / DA - 2023. CY - Singapore : AU - Choi, Andy H. CN - RD684 PB - Springer, PP - Singapore : PY - 2023. ID - 1467922 KW - Bone remodeling KW - Tissue-integrated prostheses KW - Osseointegration SN - 9789819914258 SN - 9819914256 TI - Bone remodeling and osseointegration of implants / LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-1425-8 UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-1425-8 ER -