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AI in Orthopedic Research: A Comprehensive Review
1Department of Orthopedics and Traumatology, Bahcesehir University School of Medicine, Istanbul, Turkey.
Summary
Artificial intelligence (AI) is transforming orthopedic care with advanced deep learning algorithms for diagnostics and predictive analytics. While AI offers improved accuracy and personalized treatments, challenges in data and validation require further research for seamless integration into musculoskeletal care.
Area of Science:
- Orthopedic research and clinical practice
- Medical imaging analysis
- Predictive analytics in healthcare
Background:
- Artificial intelligence (AI) is increasingly integrated into medicine.
- Deep learning algorithms show promise in analyzing medical images.
- AI can process diverse patient data for predictive insights.
Purpose of the Study:
- To review current advancements in AI for orthopedic research and clinical practice.
- To examine the capabilities of AI in diagnostics, treatment optimization, and workflow enhancement.
- To discuss the potential and challenges of AI integration in musculoskeletal care.
Main Methods:
- Synthesis of current developments in AI for orthopedics.
- Critical examination of AI algorithms in medical image analysis (radiography, MRI).
- Analysis of AI applications in predictive analytics using patient data (gait, imaging).
Main Results:
- AI algorithms demonstrate expert-level performance in detecting fractures and grading osteoarthritis.
- AI systems enhance diagnostic accuracy, reduce missed diagnoses, and support early intervention.
- AI-driven predictive analytics forecast surgical outcomes and rehabilitation trajectories.
- Emerging AI applications include robotics, augmented reality, and digital twins for surgical planning.
Conclusions:
- AI significantly enhances orthopedic diagnostics, treatment planning, and clinical workflows.
- Challenges include data heterogeneity, algorithmic bias, and model validation.
- Future directions involve further research and development for robust AI integration in musculoskeletal care.
