ReviewArthroplasty (London, England)2022
Artificial intelligence in knee arthroplasty: current concept of the available clinical applications.
Review in Arthroplasty (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
44 citing papers in PubMed.
- Predictive Tool Use and Willingness for Surgery in Patients With Knee Osteoarthritis: A Randomized Clinical Trial.JAMA network open · 2024Trial
- Robotic-Assisted Total Knee Arthroplasty: Current Evidence on PROMs, Functional Outcomes, Neuromotor Recovery, and Complications-A Narrative Review.Medicina (Kaunas, Lithuania) · 2026Review
- Optimizing arthroplasty outcomes: the impact of artificial intelligence and robotic assistance.Annals of medicine and surgery (2012) · 2026Review
- The Evolving Role of Artificial Intelligence in Hip and Knee Arthroplasty: Indian Perspective and Indigenous Innovation.Journal of orthopaedic case reports · 2026Article
- Artificial Intelligence Applications in Implant Positioning, Dislocation Risk Prediction, and Surgical Indications in Orthopaedic Surgery.Bioengineering (Basel, Switzerland) · 2026Review
- CT-based 3D planning-supported stem-free screw-cement augmentation versus 2D radiograph-planned short-stem reconstruction for AORI type I-II medial tibial defects in TKA: a two-year retrospective study.Journal of orthopaedic surgery and research · 2026Article
- Use of extended reality, virtual reality, augmented reality and mixed reality in clinical practice, education and research in knee arthroplasty: A scoping review.Journal of experimental orthopaedics · 2026Article
- Development of risk prediction model for chronic pain after knee replacement surgery: protocol for an individual patient data meta-analysis.Perioperative medicine (London, England) · 2026Article
- Smart scheduling of arthroplasty surgery with machine learning and optimisation improves operating room utilisation.BMJ health & care informatics · 2026Article
- Artificial intelligence and robotic technologies redefining precision and personalization in orthopedic surgery: a narrative review.Frontiers in bioengineering and biotechnology · 2026Review
- Deep learning applied to standard radiographs improves detection of implant loosening in total knee arthroplasty: A proof-of-concept study.Journal of experimental orthopaedics · 2026Article
- Review
- Artificial Intelligence in Bone Fracture Detection: A Review of Evidence, Limitations, and Clinical Integration.Cureus · 2025Review
- Quality assurance in machine Learning: Do we hit the mark for total joint arthroplasty models? A systematic review.Journal of clinical orthopaedics and trauma · 2025Review
- Artificial intelligence in total knee arthroplasty: clinical applications and implications.Knee surgery & related research · 2025Review
- Exploring the role of artificial intelligence in orthopedic medical education: A narrative review.Journal of clinical orthopaedics and trauma · 2025Article
- Automation in tibial implant loosening detection using deep-learning segmentation.International journal of computer assisted radiology and surgery · 2025Article
- Periprosthetic joint infection after arthroplasty: advances and future prospects.Journal of orthopaedic surgery and research · 2025Review
- Review
- Surgical site soft tissue thickness as a predictor of complications following arthroplasty.World journal of methodology · 2025Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial intelligence (AI) is defined as the study of algorithms that allow machines to reason and perform cognitive functions such as problem-solving, objects, images, word recognition, and decision-making. This study aimed to review the published articles and the comprehensive clinical relevance of AI-based tools used before, during, and after knee arthroplasty.
methodsThe search was conducted through PubMed, EMBASE, and MEDLINE databases from 2000 to 2021 using the 2009 Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol (PRISMA).
resultsA total of 731 potential articles were reviewed, and 132 were included based on the inclusion criteria and exclusion criteria. Some steps of the knee arthroplasty procedure were assisted and improved by using AI-based tools. Before surgery, machine learning was used to aid surgeons in optimizing decision-making. During surgery, the robotic-assisted systems improved the accuracy of knee alignment, implant positioning, and ligamentous balance. After surgery, remote patient monitoring platforms helped to capture patients' functional data.
conclusionIn knee arthroplasty, the AI-based tools improve the decision-making process, surgical planning, accuracy, and repeatability of surgical procedures.
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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.