ArticleJournal of orthopaedics and sports medicine2025
Application of Artificial Intelligence and its Subsets in Various Stages of Knee Arthroplasty from Pre-op to Post-op: An Overview.
Article in Journal of orthopaedics and sports medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Artificial Intelligence Applications in Implant Positioning, Dislocation Risk Prediction, and Surgical Indications in Orthopaedic Surgery.Bioengineering (Basel, Switzerland) · 2026Review
- Bibliometric and visual analysis of artificial intelligence-related research in osteoarthritis: Trends and frontiers (2008-2025).Medicine · 2026Review
- Artificial I ntelligence-Assisted Fetal Echocardiography: Improving Early Detection and Neonatal Outcomes of Congenital Heart Disease.Cardiology and cardiovascular medicine · 2026Article
- Integrating Mechanical Diagnosis and Therapy Within Multidisciplinary Biopsychosocial Care for Chronic Musculoskeletal Pain.Journal of orthopaedics and sports medicine · 2026Article
- Management of Venous Thromboembolism After Hip and Knee Arthroplasty.Journal of orthopaedics and sports medicine · 2025Article
- Reshaping Anesthesia with Artificial Intelligence: From Concept to Reality.Anesthesia and critical care (Houston, Tex.) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Osteoarthritis is a complex and painful condition marked by joint destruction and remodeling, often resulting from overuse, aging, or genetic predisposition. Surgical arthroplasty is a widely used treatment to replace degenerated joints, relieve pain, and restore function, often caused by osteoarthritis. Artificial intelligence, including its subsets such as machine learning and deep learning, has emerged as a tool to enhance knee arthroplasty by improving diagnostic accuracy, surgical efficiency and patient outcomes. This article addresses the diverse applications of artificial intelligence across the preoperative, perioperative, and postoperative stages of knee arthroplasty, categorizing studies by their focus on patient education, surgical assistance, and outcome assessment.
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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.