ArticleJournal of experimental orthopaedics2024
Leveraging digital twins for improved orthopaedic evaluation and treatment.
Article in Journal of experimental orthopaedics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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The trial behind it
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Who cites it
23 citing papers in PubMed.
- Digital Transformation in Orthopedics: Can India Leapfrog with Artificial Intelligence, Augmented Reality, and Robotics?Journal of orthopaedic case reports · 2026Article
- Rapid personalized computational modeling of the wrist.Medical engineering & physics · 2026Article
- [Soft tissue engineering in orthopedics : Regenerative synergistic effects of shockwave therapy, PRP, EMTT, and hyaluronic acid].Orthopadie (Heidelberg, Germany) · 2026Review
- Digital Twins in Orthopedics and Trauma: Concepts, Emerging Evidence, and Barriers to Clinical Translation.Journal of clinical medicine · 2026Review
- Artificial intelligence in orthopaedics: Enhanced examinations, ambient intelligence and the future of clinical practice.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026Review
- Artificial Intelligence in Orthopaedics: Clinical Performance, Limitations, and Translational Readiness-A Review.Journal of clinical medicine · 2026Review
- Digital Health and Smart Technologies in Shoulder Arthroplasty: Emerging Tools and Clinical Implications.Orthopedic research and reviews · 2026Review
- Next-generation strategies for anterior cruciate ligament repair: constructing biointelligent ligament grafts integrating biomimetic design, immune modulation, and sensory feedback.Frontiers in bioengineering and biotechnology · 2026Review
- Advances in functional nanomaterials and piezoelectric biomaterials for personalized intramedullary fixation: addressing age-related orthopedic challenges.Frontiers in chemistry · 2026Review
- The accuracy of artificial intelligence in 3D preoperative planning for total hip arthroplasty: A systematic review and meta-analysis.Journal of experimental orthopaedics · 2026Review
- Review
- Digital twins: pioneering personalized precision in modern surgery.Annals of medicine and surgery (2012) · 2025Article
- A practical guide to the implementation of AI in orthopaedic research-Part 5: Data management.Journal of experimental orthopaedics · 2025Review
- Emerging Roles of the Gut Microbiome in Musculoskeletal Injury and Repair.Microorganisms · 2025Review
- Artificial Intelligence in Trauma and Orthopaedic Surgery: A Comprehensive Review From Diagnosis to Rehabilitation.Cureus · 2025Review
- The metaverse in orthopaedics: Virtual, augmented and mixed reality for advancing surgical training, arthroscopy, arthroplasty and rehabilitation.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025Review
- Towards a comprehensive digital wearable tracking system of the patient recovery journey after extremity trauma: a narrative review.EFORT open reviews · 2025Review
- Artificial Intelligence in Orthopedic Surgery: Current Applications, Challenges, and Future Directions.MedComm · 2025Review
- Integrating artificial intelligence into orthopedics: Opportunities, challenges, and future directions.Journal of hand and microsurgery · 2025Review
- A review of recent artificial intelligence for traditional medicine.Journal of traditional and complementary medicine · 2025Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The purpose of this article is to explore the potential of digital twin technologies in orthopaedics and to evaluate how their integration with artificial intelligence (AI) and deep learning (DL) can improve orthopaedic evaluation and treatment. This review addresses key applications of digital twins, including surgical planning, patient-specific outcome prediction, augmented reality-assisted surgery and simulation-based surgical training. Methods: Existing studies on digital twins in various domains, including engineering, biomedical and orthopaedics are reviewed. We also reviewed advancements in AI and DL relevant to digital twins. We focused on identifying key benefits, challenges and future directions for the implementation of digital twins in orthopaedic practice. Results: The review highlights that digital twins offer significant potential to revolutionise orthopaedic care by enabling precise surgical planning, real-time outcome prediction and enhanced training. Digital twins can model patient-specific anatomy using advanced imaging techniques and dynamically update with real-time data, providing valuable insights during surgery and postoperative care. However, challenges such as the need for large-scale data sets, technological limitations and integration issues must be addressed to fully realise these benefits. Conclusion: Digital twins represent a promising frontier in orthopaedic research and practice, with the potential to improve patient outcomes and enhance surgical precision. To enable widespread adoption, future research must focus on overcoming current challenges and further refining the integration of digital twins with AI and DL technologies. Level of Evidence: Level V.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.