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.
1. Prediction of Fracture Union in Long Bones Using AI Models, Santosh Takale, Dalavi Surekha Gorakh.
2. Osteoporosis Risk Assessment in Fragility Fractures Supported by AI Analysis, Sandip R. Patil, Chavan Vikrant U.
3. Postoperative Alignment Assessment After Total Knee Arthroplasty with AI Assistance, Channapa Mahajan, More Seema Nitin.
4. Functional Outcome Prediction Following Open Tibial Fractures Using AI-Based Models, Amol S. Dhawale, Dalavi Surekha Gorakh.
5. Implant Failure Risk Stratification in Orthopedic Trauma Through AI, Paresh Patil, Dalavi Surekha Gorakh.
6. Surgical Site Infection Risk Assessment in Orthopedic Procedures Using AI Tools, Jineshwar Kapale, Attar Tabassum M.
7. Functional Recovery Analysis After Hip Fracture Surgery Supported by AI Analytics, P.N. Kulkarni, Pisal Rutuja A.
8. Radiographic Evaluation of Bone Healing After Intramedullary Nailing with AI Support, Anupam S. Kolekar, More Seema Nitin.
9. Decision-Making in Polytrauma Management Enhanced by AI, Vikas Deshmukh, Piyush Ashokrao Dalke.
10. Outcome Prediction After Rotator Cuff Repair Using AI-Assisted Clinical Models, Vikas Deshmukh, Prashant S. Jadhav.