ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2022
Artificial intelligence and machine learning: an introduction for orthopaedic surgeons.
Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
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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
38 citing papers in PubMed, 72 citations in OpenAlex.
- Application study of 3D printing combined with mixed reality technology in teaching percutaneous screw fixation for scaphoid fractures under C-arm fluoroscopy.BMC medical education · 2026Trial
- Review of the influence of anaemia on the effect of total hip arthroplasty, and the prognosis of patients: recent advances and future directions.Annals of medicine · 2026Review
- Artificial Intelligence Scribes in Orthopaedic Surgery: A Narrative Review.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026Review
- Trustworthy AI models to predict prolonged hospital length-of-stay in orthopedic surgery.npj health systems · 2026Article
- Determination of Modified Waldenström Staging in Legg-Calvé-Perthes Disease Using Deep Learning.Journal of the Pediatric Orthopaedic Society of North America · 2026Article
- Transfer Learning From Hand-Trained Deep Learning Models to Estimate Bone Age From Knee Radiographs.Orthopaedic journal of sports medicine · 2026Article
- Increasing research on personalized alignment concepts, robotic-assisted surgery and artificial intelligence in total knee arthroplasty: A bibliometric analysis of the last 10 years inJournal of experimental orthopaedics · 2026Review
- Artificial Intelligence Applications in Gastric Cancer Surgery: Bridging Early Diagnosis and Responsible Precision Medicine.Journal of clinical medicine · 2026Review
- Review
- 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
- Article
- AI in Pediatric Spine Care: Clinical, Research, and Ethical Considerations.Journal of clinical medicine · 2025Article
- From Past to Future: Emergent Concepts of Anterior Cruciate Ligament Surgery and Rehabilitation.Journal of clinical medicine · 2025Review
- Red Staining of the LHB and the Rotator Interval on Arthroscopy-A Valid Indicator of Symptomatic Inflammation? A Machine Learning Assisted Investigation.Orthopaedic journal of sports medicine · 2025Article
- Navigating the future: A comprehensive review of technology in shoulder arthroplasty.Journal of hand and microsurgery · 2025Review
- Machine learning models for predicting tibial intramedullary nail length.BMC musculoskeletal disorders · 2025Article
- Machine-learning models for shoulder rehabilitation exercises classification using a wearable system.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025Article
- Mapping the reporting practices in recent randomised controlled trials published inJournal of experimental orthopaedics · 2025Article
- Predicting Postoperative Blood Transfusion in Elderly Patients Undergoing Total Hip and Knee Arthroplasty Using Machine Learning Models.Risk management and healthcare policy · 2025Article
- Diagnostic performance of deep learning for leg length measurements on radiographs in leg length discrepancy: A systematic review.Journal of experimental orthopaedics · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The application of artificial intelligence (AI) and machine learning to the field of orthopaedic surgery is rapidly increasing. While this represents an important step in the advancement of our specialty, the concept of AI is rich with statistical jargon and techniques unfamiliar to many clinicians. This knowledge gap may limit the impact and potential of these novel techniques. We aim to narrow this gap in a way that is accessible for all orthopaedic surgeons. With this manuscript, we introduce the concept of AI and machine learning and give examples of how it can impact clinical practice and patient care.Level of evidence VI.
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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.