AI in Orthopedic Trauma Care 2 focuses on predictive modeling and data-driven strategies across the continuum of trauma care. Framed within precision healthcare, it examines how AI-driven systems enhance decision-making, risk assessment and recovery planning.
This book integrates machine learning and clinical data analytics to predict fracture union, assess osteoporosis and implant failure risk, evaluate infection probability, and support polytrauma management. It further explores functional recovery modeling and personalized rehabilitation pathways.
Emphasizing responsible AI integration, this book addresses ethical governance, data security, transparency and implementation challenges, offering practical guidance for clinicians, healthcare technologists and researchers building intelligent, secure, and patient-centered orthopedic trauma systems.