ArticleJournal of orthopaedics
Current understanding on artificial intelligence and machine learning in orthopaedics - A scoping review.
Article in Journal of orthopaedics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed.
- Clinical outcomes of quadriceps, hamstring, and bone-patellar tendon-bone autografts for ACL reconstruction: a meta-analysis of randomized controlled trials.Knee surgery & related research · 2026Review
- Artificial intelligence and robotic technologies redefining precision and personalization in orthopedic surgery: a narrative review.Frontiers in bioengineering and biotechnology · 2026Review
- Artificial Intelligence Has Varied Diagnostic and Predictive Performance in Diagnosing Patellofemoral Osteoarthritis, Trochlear Dysplasia, and Patellofemoral Tracking Abnormalities: A Systematic Review.Arthroscopy, sports medicine, and rehabilitation · 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
- Artificial intelligence in shoulder arthroplasty: how smart is it?JSES international · 2025Article
- Health Care Social Robots in the Age of Generative AI: Protocol for a Scoping Review.JMIR research protocols · 2025Article
- A scientometric analysis of highly cited papers in Indian spine research (1995-2024): navigating the impact.International orthopaedics · 2025Review
- Comparison of Machine Learning Algorithms and Hybrid Computational Intelligence Algorithms for Rehabilitation Classification and Prognosis in Reverse Total Shoulder Arthroplasty.Bioengineering (Basel, Switzerland) · 2025Article
- Ethics in orthopaedic surgery practice: balancing patient care and technological advances.International orthopaedics · 2024Article
- Article
- Overview of Artificial Intelligence Research Within Hip and Knee Arthroplasty.Arthroplasty today · 2024Article
- Application of Artificial Intelligence in Shoulder Pathology.Diagnostics (Basel, Switzerland) · 2024Review
- Pelvic bone tumor segmentation fusion algorithm based on fully convolutional neural network and conditional random field.Journal of bone oncology · 2024Article
- The Performance of ChatGPT on the American Society for Surgery of the Hand Self-Assessment Examination.Cureus · 2024Article
- Artificial intelligence-based orthopaedic perpetual design.Journal of clinical orthopaedics and trauma · 2024Article
- The Rise of Artificial Intelligence: Implications in Orthopedic Surgery.Journal of orthopaedic case reports · 2024Article
- A Scientometric Worldview of Artificial Intelligence in Musculoskeletal Diseases Since the 21st Century.Journal of multidisciplinary healthcare · 2024Review
- Incorporating Technology Adoption in Medical Education: A Qualitative Study of Medical Students' Perspectives.Advances in medical education and practice · 2024Article
- Predicting 30-day readmission following total knee arthroplasty using machine learning and clinical expertise applied to clinical administrative and research registry data in an Australian cohort.Arthroplasty (London, England) · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Artificial Intelligence (AI) has improved the way of looking at technological challenges. Today, we can afford to see many of the problems as just an input-output system rather than solving from the first principles. The field of Orthopaedics is not spared from this rapidly expanding technology. The recent surge in the use of AI can be attributed mainly to advancements in deep learning methodologies and computing resources. This review was conducted to draw an outline on the role of AI in orthopaedics. Methods: We developed a search strategy and looked for articles on PubMed, Scopus, and EMBASE. A total of 40 articles were selected for this study, from tools for medical aid like imaging solutions, implant management, and robotic surgery to understanding scientific questions. Results: A total of 40 studies have been included in this review. The role of AI in the various subspecialties such as arthroplasty, trauma, orthopaedic oncology, foot and ankle etc. have been discussed in detail. Conclusion: AI has touched most of the aspects of Orthopaedics. The increase in technological literacy, data management plans, and hardware systems, amalgamated with the access to hand-held devices like mobiles, and electronic pads, augur well for the exciting times ahead in this field. We have discussed various technological breakthroughs in AI that have been able to perform in Orthopaedics, and also the limitations and the problem with the black-box approach of modern AI algorithms. We advocate for better interpretable algorithms which can help both the patients and surgeons alike.
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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.