ReviewInternational orthopaedics2022
Applications of artificial intelligence and machine learning for the hip and knee surgeon: current state and implications for the future.
Review in International orthopaedics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 29 citations in OpenAlex.
- Analysis and mitigation of equipment-induced shortcuts in AI models for laparoscopic cholecystectomy.PLOS digital health · 2026Article
- Current Advances of Artificial Intelligence and Machine Learning in Orthopaedics: A Focus on Hip Surgery.Bioengineering (Basel, Switzerland) · 2025Review
- Shared decision making using digital twins in knee osteoarthritis care: a randomized clinical trial of an AI-enabled decision aid versus education alone on decision quality, physical function, and user experience.EClinicalMedicine · 2025Article
- Integrating artificial intelligence into orthopedics: Opportunities, challenges, and future directions.Journal of hand and microsurgery · 2025Review
- Accuracy Verification of a Computed Tomography-Based Navigation System for Total Hip Arthroplasty in Severe Hip Dysplasia: A Simulation Study Using 3D-Printed Bone Models of Crowe Types II, III, and IV.Medicina (Kaunas, Lithuania) · 2025Article
- The Role of Artificial Intelligence and Emerging Technologies in Advancing Total Hip Arthroplasty.Journal of personalized medicine · 2025Review
- Guidelines From the American Society of Pain and Neuroscience for Using Artificial Intelligence in Interventional Spine and Nerve Treatment.Journal of pain research · 2025Article
- XGBoost-SHAP-based interpretable diagnostic framework for knee osteoarthritis: a population-based retrospective cohort study.Arthritis research & therapy · 2024Article
- Clinical validation of a deep learning-based approach for preoperative decision-making in implant size for total knee arthroplasty.Journal of orthopaedic surgery and research · 2024Article
- Precision of Cup Positioning Using a Novel Computed Tomography Based Navigation System in Total Hip Arthroplasty.Medicina (Kaunas, Lithuania) · 2024Article
- A role for artificial intelligence applications inside and outside of the operating theatre: a review of contemporary use associated with total knee arthroplasty.Arthroplasty (London, England) · 2023Review
- Artificial intelligence and machine learning as a viable solution for hip implant failure diagnosis-Review of literature and in vitro case study.Medical & biological engineering & computing · 2023Review
- Digital Orthopedics: The Future Developments of Orthopedic Surgery.Journal of personalized medicine · 2023Article
- Automatic assessment of knee osteoarthritis severity in portable devices based on deep learning.Journal of orthopaedic surgery and research · 2022Article
- History of bone acoustic in fracture diagnosis: crepitus in antiquity; bone percussion with Auenbrugger; bone auscultation with Laennec and Lisfranc; monitoring cementless hip arthroplasty fixation with acoustic and sensor.International orthopaedics · 2022Article
- Ortho-digital dynamics: Exploration of advancing digital health technologies in musculoskeletal disease management.Digital healthArticle
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 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial Intelligence (AI)/Machine Learning (ML) applications have been proven efficient to improve diagnosis, to stratify risk, and to predict outcomes in many respective medical specialties, including in orthopaedics. CHALLENGES AND DISCUSSION: Regarding hip and knee reconstruction surgery, AI/ML have not made it yet to clinical practice. In this review, we present sound AI/ML applications in the field of hip and knee degenerative disease and reconstruction. From osteoarthritis (OA) diagnosis and prediction of its advancement, clinical decision-making, identification of hip and knee implants to prediction of clinical outcome and complications following a reconstruction procedure of these joints, we report how AI/ML systems could facilitate data-driven personalized care for our patients.
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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.