Comprehensive Summary
This literature review explores the concept and potential of digital twin (DT) systems for musculoskeletal (MSK) healthcare applications. The study showcases how DTs leverage computational models, such as multibody dynamics and finite element analysis, combined with wearable technology for real-time patient monitoring. Early clinical applications highlight DT's capabilities in personalized surgical planning, rehabilitation optimization, and postoperative outcome prediction. The review identifies current challenges in data integration, computational efficiency, accurate modeling, patient privacy, and regulatory compliance, emphasizing the importance of multidisciplinary collaboration for further development.
Outcomes and Implications
DT systems have the potential to significantly improve MSK healthcare through enhanced surgical planning accuracy, optimized rehabilitation strategies, and better predictive capabilities via machine learning and explainable AI integration. Addressing current technical and ethical challenges could accelerate clinical adoption within the next decade. The advancement of DT technology is expected to notably enhance patient outcomes and expand preventive healthcare approaches, ultimately transforming MSK medical care.