ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2022
The development and deployment of machine learning models.
Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2022. 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
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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
14 citing papers in PubMed.
- Artificial Intelligence and its Current Role in Clinical Outcome Prediction, Musculoskeletal Imaging, and Economic and Ethical Considerations within Orthopedics and Sports Medicine.Current reviews in musculoskeletal medicine · 2026Review
- Machine learning models for early mortality prediction in severe fever with thrombocytopenia syndrome.iScience · 2026Article
- Using multiple machine learning algorithms to predict spinal cord injury in patients with cervical spondylosis: a multicenter study.Scientific reports · 2025Article
- A practical guide to the implementation of artificial intelligence in orthopaedic research-Part 3: How orthopaedic research benefits from the implementation of artificial intelligence.Journal of experimental orthopaedics · 2025Review
- Machine-learning models for shoulder rehabilitation exercises classification using a wearable system.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025Article
- Mapping the reporting practices in recent randomised controlled trials published inJournal of experimental orthopaedics · 2025Article
- Machine learning-based prediction model of lower extremity deep vein thrombosis after stroke.Journal of thrombosis and thrombolysis · 2024Article
- Diagnostic performance of deep learning for leg length measurements on radiographs in leg length discrepancy: A systematic review.Journal of experimental orthopaedics · 2024Article
- Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice.JMIR medical informatics · 2024Article
- Machine Learning Prediction of Quantum Yields and Wavelengths of Aggregation-Induced Emission Molecules.Materials (Basel, Switzerland) · 2024Article
- Biomarkers of Arginine Methylation in Diabetic Nephropathy: Novel Insights from Bioinformatics Analysis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Artificial intelligence-based analyses of varus leg alignment and after high tibial osteotomy show high accuracy and reproducibility.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2023Article
- Current clinical applications of artificial intelligence in shoulder surgery: what the busy shoulder surgeon needs to know and what's coming next.JSES reviews, reports, and techniques · 2023Review
- Evolution of Hybrid Intelligence and Its Application in Evidence-Based Medicine: A Review.Medical science monitor : international medical journal of experimental and clinical research · 2023Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Applications of artificial intelligence, specifically machine learning, are becoming increasingly popular in Orthopaedic Surgery, and medicine as a whole. This growing interest is shared by data scientists and physicians alike. However, there is an asymmetry of understanding of the developmental process and potential applications of machine learning. As new technology will undoubtedly affect clinical practice in the coming years, it is important for physicians to understand how these processes work. The purpose of this paper is to provide clarity and a general framework for building and assessing machine learning models.
Indexed as
Identifiers
36083354What OpenQuestion holds
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.