AIMC Topic: Arthroplasty, Replacement, Hip
Clear Filters Showing 31 to 40 of 137 articles
Image quality and metal artifact reduction in total hip arthroplasty CT: deep learning-based algorithm versus virtual monoenergetic imaging and orthopedic metal artifact reduction.
European radiology experimental
Mar 14, 2024
BACKGROUND: To compare image quality, metal artifacts, and diagnostic confidence of conventional computed tomography (CT) images of unilateral total hip arthroplasty patients (THA) with deep learning-based metal artifact reduction (DL-MAR) to convent...
Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty.
Clinical orthopaedics and related research
Mar 12, 2024
BACKGROUND: Estimating the risk of revision after arthroplasty could inform patient and surgeon decision-making. However, there is a lack of well-performing prediction models assisting in this task, which may be due to current conventional modeling a...
Evolution in Development of a Predictive Deep-Learning Model for Total Hip Replacement Based on Radiographs: Commentary on an article by Yi Xu, MD, et al.: "Development and Validation of a Deep-Learning Model to Predict Total Hip Replacement on Radiographs. The Total Hip Replacement Prediction (THREP) Model".
The Journal of bone and joint surgery. American volume
Mar 6, 2024
Direct anterior approach with conventional instruments versus robotic posterolateral approach in elective total hip replacement for primary osteoarthritis: a case-control study.
Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology
Feb 21, 2024
BACKGROUND: The purpose of this study is to compare peri-operative and short-term outcomes in patients who underwent elective total hip replacement (THA) for primary osteoarthritis (OA) with direct anterior approach (DAA) versus a pair-matched cohort...
Artificial intelligence technology improves the accuracy of preoperative planning in primary total hip arthroplasty.
Asian journal of surgery
Feb 10, 2024
OBJECTIVE: Successful total hip arthroplasty relies on accurate preoperative planning. However, the conventional preoperative planning, a two-dimensional method using X-ray template, has shown poor reliability of predicting component size. To our kno...
Artificial intelligence-based three-dimensional templating for total joint arthroplasty planning: a scoping review.
International orthopaedics
Jan 15, 2024
PURPOSE: The purpose of this review is to evaluate the current status of research on the application of artificial intelligence (AI)-based three-dimensional (3D) templating in preoperative planning of total joint arthroplasty.
Automated digital templating of component sizing is accurate in robotic total hip arthroplasty when compared to predicate software.
Medical engineering & physics
Jan 10, 2024
Accurate pre-operative templating of prosthesis components is an essential factor in successful total hip arthroplasty (THA), including robotically-assisted THA (RA-THA) techniques. We sought to validate the accuracy of a novel, robotic-optimized THA...
Development and Validation of a Deep-Learning Model to Predict Total Hip Replacement on Radiographs: The Total Hip Replacement Prediction (THREP) Model.
The Journal of bone and joint surgery. American volume
Dec 12, 2023
BACKGROUND: There are few methods for accurately assessing the risk of total hip arthroplasty (THA) in patients with osteoarthritis. A novel and reliable method that could play a substantial role in research and clinical routine should be investigate...
Deep-Learning Automation of Preoperative Radiographic Parameters Associated With Early Periprosthetic Femur Fracture After Total Hip Arthroplasty.
The Journal of arthroplasty
Nov 23, 2023
BACKGROUND: The radiographic assessment of bone morphology impacts implant selection and fixation type in total hip arthroplasty (THA) and is important to minimize the risk of periprosthetic femur fracture (PFF). We utilized a deep-learning algorithm...
Deep learning-based workflow for hip joint morphometric parameter measurement from CT images.
Physics in medicine and biology
Nov 6, 2023
Precise hip joint morphometry measurement from CT images is crucial for successful preoperative arthroplasty planning and biomechanical simulations. Although deep learning approaches have been applied to clinical bone surgery planning, there is still...
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