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Integrating artificial intelligence into orthopedics: Opportunities, challenges, and future directions
Raju Vaishya1, Anupam Sibal2, Sujoy Kar3
1Indraprastha Apollo Hospitals, New Delhi, India.
Journal of Hand and Microsurgery
|May 21, 2025
Summary
Artificial intelligence (AI) enhances orthopedic diagnostics, surgical planning, and patient care. While effective, challenges in data standardization and clinical validation require further research for optimal integration.
Area of Science:
- Orthopedic Surgery
- Medical Technology
- Artificial Intelligence
Background:
- Artificial intelligence (AI) is increasingly integrated into medical fields.
- Orthopedics benefits from AI in diagnostics, surgical planning, and personalized treatment.
Purpose of the Study:
- To review AI applications in orthopedics.
- To evaluate AI's impact on patient care and clinical practice.
- To assess AI methodologies and integration challenges.
Main Methods:
- Comprehensive literature search of PubMed, Scopus, and Google Scholar up to February 28, 2025.
- Inclusion of studies on AI in orthopedics; exclusion of non-peer-reviewed/non-English articles.
- Data extraction on AI technologies, applications, outcomes, and limitations.
Main Results:
- AI demonstrates effectiveness in fracture detection and treatment planning using machine learning and deep learning.
- Improved outcomes noted in joint reconstruction, spine surgery, and rehabilitation.
- Key challenges include data standardization and clinical validation.
Conclusions:
- AI holds significant potential to revolutionize orthopedic practice.
- Ongoing research is crucial to overcome adoption barriers.
- Future efforts should focus on clinical trials, data protocols, and collaboration for ethical AI implementation.
