AIMC Topic: Arthroplasty, Replacement, Knee
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Leveraging machine learning for duration of surgery prediction in knee and hip arthroplasty - a development and validation study.
BMC medical informatics and decision making
Mar 3, 2025
BACKGROUND: Duration of surgery (DOS) varies substantially for patients with hip and knee arthroplasty (HA/KA) and is a major risk factor for adverse events. We therefore aimed (1) to identify whether machine learning can predict DOS in HA/KA patient...
Artificial intelligence and machine learning in knee arthroplasty.
The Knee
Feb 28, 2025
BACKGROUND: Artificial intelligence (AI) and its subset, machine learning (ML), have significantly impacted clinical medicine, particularly in knee arthroplasty (KA). These technologies utilize algorithms for tasks such as predictive analytics and im...
Managing class imbalance in the training of a large language model to predict patient selection for total knee arthroplasty: Results from the Artificial intelligence to Revolutionise the patient Care pathway in Hip and knEe aRthroplastY (ARCHERY) project.
The Knee
Feb 28, 2025
INTRODUCTION: This study set out to test the efficacy of different techniques used to manage to class imbalance, a type of data bias, in application of a large language model (LLM) to predict patient selection for total knee arthroplasty (TKA).
Deep learning-based clustering for endotyping and post-arthroplasty response classification using knee osteoarthritis multiomic data.
Annals of the rheumatic diseases
Feb 12, 2025
OBJECTIVES: Primary knee osteoarthritis (KOA) is a heterogeneous disease with clinical and molecular contributors. Biofluids contain microRNAs and metabolites that can be measured by omic technologies. Multimodal deep learning is adept at uncovering ...
Biopsychosocial based machine learning models predict patient improvement after total knee arthroplasty.
Scientific reports
Feb 10, 2025
Total knee arthroplasty (TKA) is an effective treatment for end stage osteoarthritis. However, biopsychosocial features are not routinely considered in TKA clinical decision-making, despite increasing evidence to support their role in patient recover...
A Workflow-Efficient Approach to Pre- and Post-Operative Assessment of Weight-Bearing Three-Dimensional Knee Kinematics.
The Journal of arthroplasty
Feb 6, 2025
BACKGROUND: Knee kinematics during daily activities reflect disease severity preoperatively and are associated with clinical outcomes after total knee arthroplasty (TKA). It is widely believed that measured kinematics would be useful for preoperative...
A Deep Learning Tool for Minimum Joint Space Width Calculation on Antero-posterior Knee Radiographs.
The Journal of arthroplasty
Jan 27, 2025
BACKGROUND: Minimum joint space width (mJSW) is an important continuous quantitative metric of osteoarthritis progression in the knee. The purpose of this study was to develop an automated measurement algorithm for mJSW in the medial and lateral comp...
TKA-AID: An Uncertainty-Aware Deep Learning Classifier to Identify Total Knee Arthroplasty Implants.
The Journal of arthroplasty
Jan 19, 2025
BACKGROUND: A drastic increase in the volume of primary total knee arthroplasties (TKAs) performed nationwide will inevitably lead to higher volumes of revision TKAs in which the primary knee implant must be removed. An important step in preoperative...
Novel dilation-erosion labeling technique allows for rapid, accurate and adjustable alignment measurements in primary TKA.
Computers in biology and medicine
Dec 16, 2024
BACKGROUND: Optimal implant position and alignment remains a controversial, yet critical topic in primary total knee arthroplasty (TKA). Future study of ideal implant position will require the ability to efficiently measure component positions at sca...
Predicting 30-day reoperation following primary total knee arthroplasty: machine learning model outperforms the ACS risk calculator.
Medical & biological engineering & computing
Dec 9, 2024
The ACS risk calculator (ARC) has proven less effective in predicting patient-specific risk of early reoperation after primary total knee arthroplasty (TKA), compromising care quality and cost efficiency. This study compared the performance of a mach...
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