[HTML][HTML] Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion
Deep learning (DL) in orthopaedics has gained significant attention in recent years.
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …
Use of machine learning in osteoarthritis research: a systematic literature review
Objective The aim of this systematic literature review was to provide a comprehensive and
exhaustive overview of the use of machine learning (ML) in the clinical care of osteoarthritis …
exhaustive overview of the use of machine learning (ML) in the clinical care of osteoarthritis …
Automating classification of osteoarthritis according to Kellgren-Lawrence in the knee using deep learning in an unfiltered adult population
Background Prevalence for knee osteoarthritis is rising in both Sweden and globally due to
increased age and obesity in the population. This has subsequently led to an increasing …
increased age and obesity in the population. This has subsequently led to an increasing …
Applications of artificial intelligence in orthopaedic surgery
F Farhadi, MR Barnes, HR Sugito, JM Sin… - Frontiers in medical …, 2022 - frontiersin.org
The practice of medicine is rapidly transforming as a result of technological breakthroughs.
Artificial intelligence (AI) systems are becoming more and more relevant in medicine and …
Artificial intelligence (AI) systems are becoming more and more relevant in medicine and …
Using generative AI to investigate medical imagery models and datasets
Background AI models have shown promise in performing many medical imaging tasks.
However, our ability to explain what signals these models have learned is severely lacking …
However, our ability to explain what signals these models have learned is severely lacking …
The value of deep learning-based X-ray techniques in detecting and classifying KL grades of knee osteoarthritis: a systematic review and meta-analysis
H Zhao, L Ou, Z Zhang, L Zhang, K Liu, J Kuang - European Radiology, 2025 - Springer
Objectives Knee osteoarthritis (KOA), a prevalent degenerative joint disease, is primarily
diagnosed through X-ray imaging. The Kellgren-Lawrence grading system (KL) is the gold …
diagnosed through X-ray imaging. The Kellgren-Lawrence grading system (KL) is the gold …
Artificial intelligence in osteoarthritis detection: A systematic review and meta-analysis
Objectives As an increasing number of studies apply artificial intelligence (AI) algorithms in
osteoarthritis (OA) detection, we performed a systematic review and meta-analysis to pool …
osteoarthritis (OA) detection, we performed a systematic review and meta-analysis to pool …
DC-AAE: dual channel adversarial autoencoder with multitask learning for KL-grade classification in knee radiographs
Knee osteoarthritis (OA) is a frequent musculoskeletal disorder that leads to physical
disability in older adults. Manual OA assessment is performed via visual inspection, which is …
disability in older adults. Manual OA assessment is performed via visual inspection, which is …
An adaptive early stop** technique for DenseNet169-based knee osteoarthritis detection model
Knee osteoarthritis (OA) detection is an important area of research in health informatics that
aims to improve the accuracy of diagnosing this debilitating condition. In this paper, we …
aims to improve the accuracy of diagnosing this debilitating condition. In this paper, we …
[HTML][HTML] External validation of an artificial intelligence tool for radiographic knee osteoarthritis severity classification
MW Brejnebøl, P Hansen, JU Nybing… - European Journal of …, 2022 - Elsevier
Purpose To externally validate an artificial intelligence (AI) tool for radiographic knee
osteoarthritis severity classification on a clinical dataset. Method This retrospective …
osteoarthritis severity classification on a clinical dataset. Method This retrospective …