AI, Robotics, and Next-Generation Biologic Therapies in Orthopedic Regeneration: The Future of Autonomous Musculoskeletal Healing

Authors

  • Amjad Khan, Altaf Khan, Faisal Makki, Syed Fouzaan Albeez

DOI:

https://doi.org/10.70135/seejph.vi.5869

Abstract

Orthopedic medicine is undergoing a radical transformation with the convergence of Artificial Intelligence (AI), robotics, and biologic therapies, fundamentally reshaping traditional treatment approaches. Historically, orthopedic interventions have relied on surgical procedures, joint replacements, biologic injections, and rehabilitation therapies to manage musculoskeletal disorders. However, with the integration of AI and regenerative medicine, these conventional approaches are being revolutionized by cutting-edge advancements that promise autonomous, precision-driven, and self-sustaining musculoskeletal healing. Among the most groundbreaking innovations are AI-driven self-evolving stem cell therapies, which utilize machine learning algorithms to optimize stem cell differentiation and enhance regenerative potential in real time. In parallel, autonomous nanorobotic tissue regeneration is emerging as a disruptive technology, wherein AI-guided nanorobots detect musculoskeletal damage at the cellular level and administer targeted biologic agents for immediate repair. Additionally, AI-generated musculoskeletal constructs are being developed using advanced bioengineering techniques, enabling the fabrication of synthetic ligaments, tendons, and bone grafts that surpass biological limitations. Furthermore, neuro-AI interfaces are facilitating self-repairing orthopedic implants, allowing for real-time adaptive regeneration and biomechanical optimization based on neural feedback. Beyond current regenerative medicine, emerging research is exploring AI-driven synthetic bone formation, autonomous tissue self-assembly, quantum AI-powered precision regeneration, and AI-assisted longevity engineering to enhance musculoskeletal function. The rapid evolution of biointelligent materials, robotic tissue synthesis, and predictive AI-based biomechanics modeling is further redefining orthopedic healthcare by shifting from a reactive to a proactive, precision-driven approach. This review provides a comprehensive analysis of the latest theoretical frameworks, experimental breakthroughs, real-world clinical applications, ethical considerations, and the visionary future of regenerative musculoskeletal augmentation, positioning AI and robotics as the cornerstones of next-generation orthopedic medicine.

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Published

2025-03-15

How to Cite

Amjad Khan, Altaf Khan, Faisal Makki, Syed Fouzaan Albeez. (2025). AI, Robotics, and Next-Generation Biologic Therapies in Orthopedic Regeneration: The Future of Autonomous Musculoskeletal Healing. South Eastern European Journal of Public Health, 3753–3757. https://doi.org/10.70135/seejph.vi.5869

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Section

Articles