ArticleArthroplasty today2024
Overview of Artificial Intelligence Research Within Hip and Knee Arthroplasty.
Article in Arthroplasty today, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- 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
- Digital Transformation in Orthopedics: Can India Leapfrog with Artificial Intelligence, Augmented Reality, and Robotics?Journal of orthopaedic case reports · 2026Article
- The Evolving Role of Artificial Intelligence in Hip and Knee Arthroplasty: Indian Perspective and Indigenous Innovation.Journal of orthopaedic case reports · 2026Article
- Robotic-assisted and AI-augmented arthroplasty: converging technologies in joint replacement.Journal of robotic surgery · 2026Review
- Artificial intelligence in shoulder and elbow surgery: a bibliometric analysis of affiliation-based collaboration patterns.JSES international · 2026Review
- Artificial intelligence in total knee arthroplasty: clinical applications and implications.Knee surgery & related research · 2025Review
- Predicting periprosthetic joint Infection: Evaluating supervised machine learning models for clinical application.Journal of orthopaedic translation · 2025Article
- Artificial Intelligence and Its Role in Predicting Periprosthetic Joint Infections.Biomedicines · 2025Review
- Artificial Intelligence Approach in Hip Prosthesis Identification and Addressing Radiographic Outcome Measures.Arthroplasty today · 2025Article
- AI classification of knee prostheses from plain radiographs and real-world applications.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2025Article
- The Role of Artificial Intelligence and Emerging Technologies in Advancing Total Hip Arthroplasty.Journal of personalized medicine · 2025Review
- Role of AI in the analysis of total knee arthroplasty.Bioinformation · 2025Article
- Editorial: Modern advances in arthroplasty.Frontiers in surgery · 2025Article
- Young Arthroplasty Group Special Issue Editorial.Arthroplasty today · 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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hip and knee arthroplasty are high-volume procedures undergoing rapid growth. The large volume of procedures generates a vast amount of data available for next-generation analytics. Techniques in the field of artificial intelligence (AI) can assist in large-scale pattern recognition and lead to clinical insights. AI methodologies have become more prevalent in orthopaedic research. This review will first describe an overview of AI in the medical field, followed by a description of the 3 arthroplasty research areas in which AI is commonly used (risk modeling, automated radiographic measurements, arthroplasty registry construction). Finally, we will discuss the next frontier of AI research focusing on model deployment and uncertainty quantification.
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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.