SynthesisEuropean journal of orthopaedic surgery & traumatology : orthopedie traumatologie2024
Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review.
Synthesis in European journal of orthopaedic surgery & traumatology : orthopedie traumatologie, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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, 2 syntheses or guidelines pooled it.
- Application of artificial intelligence in X-ray imaging analysis for knee arthroplasty: A systematic review.PloS one · 2025Pooled it
- Robotic-assisted versus conventional total knee arthroplasty: a systematic review and meta-analysis of randomized controlled trials.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2024Pooled it
- Artificial Intelligence in Arthroplasty: A Comprehensive Structured Critical Review and Descriptive Evidence Map of Validation, Uncertainty, and Workflow Integration.Bioengineering (Basel, Switzerland) · 2026Review
- Arthrofibrosis After Total Knee Arthroplasty: Biological Mechanisms, Diagnosis, and Treatment: An International Consensus Symposium.HSS journal : the musculoskeletal journal of Hospital for Special Surgery · 2026Article
- A theoretical bayesian decision tree model for prioritizing RA-TKA under constrained resources robotic-assisted versus conventional total knee arthroplasty.Journal of robotic surgery · 2026Article
- Early outcomes and the learning curve of two domestically produced surgical robot systems with different operational philosophies for total knee arthroplasty.Journal of robotic surgery · 2026Article
- Consistently high accuracy of digital 2D templating in total knee arthroplasty across different levels of surgical training.Arthroplasty (London, England) · 2026Article
- The accuracy of artificial intelligence in 3D preoperative planning for total hip arthroplasty: A systematic review and meta-analysis.Journal of experimental orthopaedics · 2026Review
- Prophylactic fixation in elderly fractures: Preventive breakthrough or unnecessary intervention?World journal of orthopedics · 2025Review
- Artificial intelligence in total knee arthroplasty: clinical applications and implications.Knee surgery & related research · 2025Review
- Review
- Advancements in Total Knee Arthroplasty over the Last Two Decades.Journal of clinical medicine · 2025Review
- MRI-Based Prediction of Meniscal Tear Repairability Demonstrates Limited Accuracy and Reliability.Journal of clinical medicine · 2025Article
- Machine learning models for predicting tibial intramedullary nail length.BMC musculoskeletal disorders · 2025Article
- 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
- Mid-term outcomes of total hip arthroplasty in patients younger than 30 years.Archives of orthopaedic and trauma surgery · 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis systematic review aimed to investigate the reliability of AI predictive models of intraoperative implant sizing in total knee arthroplasty (TKA).
methodsFour databases were searched from inception till July 2023 for original studies that studied the reliability of AI prediction in TKA. The primary outcome was the accuracy ± 1 size. This review was conducted per PRISMA guidelines, and the risk of bias was assessed using the MINORS criteria.
resultsA total of four observational studies comprised of at least 34,547 patients were included in this review. A mean MINORS score of 11 out of 16 was assigned to the review. All included studies were published between 2021 and 2022, with a total of nine different AI algorithms reported. Among these AI models, the accuracy of TKA femoral component sizing prediction ranged from 88.3 to 99.7% within a deviation of one size, while tibial component sizing exhibited an accuracy ranging from 90 to 99.9% ± 1 size.
conclusionThis study demonstrated the potential of AI as a valuable complement for planning TKA, exhibiting a satisfactory level of reliability in predicting TKA implant sizes. This predictive accuracy is comparable to that of the manual and digital templating techniques currently documented in the literature. However, future research is imperative to assess the impact of AI on patient care and cost-effectiveness. LEVEL OF EVIDENCE III: PROSPERO registration number: CRD42023446868.
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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.