Leveraging digital twins for improved orthopaedic evaluation and treatment

Area of Science:

• Orthopaedic Surgery
• Medical Technology
• Artificial Intelligence

Background:

• Digital twin technology is increasingly explored across various scientific domains.
• Advancements in AI and DL offer new possibilities for complex medical applications.
• Orthopaedics can benefit from innovative technological integration for improved patient care.

Purpose of the Study:

• To explore the potential of digital twin technologies in orthopaedics.
• To evaluate the integration of digital twins with AI and DL for enhanced orthopaedic evaluation and treatment.
• To identify key applications, benefits, challenges, and future directions of digital twins in orthopaedics.

Main Methods:

• A review of existing studies on digital twins in engineering, biomedical fields, and orthopaedics.
• Review of AI and DL advancements relevant to digital twin technology.
• Focus on identifying benefits, challenges, and future directions for digital twin implementation in orthopaedic practice.

Main Results:

• Digital twins offer significant potential to revolutionize orthopaedic care.
• Key applications include precise surgical planning, real-time outcome prediction, and enhanced simulation-based training.
• Digital twins can model patient-specific anatomy and dynamically update with real-time data, offering intraoperative and postoperative insights.

Conclusions:

• Digital twins represent a promising frontier in orthopaedic research and practice.
• Potential to improve patient outcomes and enhance surgical precision.
• Future research should address challenges and refine the integration of digital twins with AI and DL for widespread adoption.