AIMC Topic: Hip Prosthesis

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Does Deep Learning Reconstruction Improve Ureteral Stone Detection and Subjective Image Quality in the CT Images of Patients with Metal Hardware?

Journal of endourology Feb 11, 2025
Diagnosing ureteral stones with low-dose CT in patients with metal hardware can be challenging because of image noise. The purpose of this study was to compare ureteral stone detection and image quality of low-dose and conventional CT scans with and...
Humans Tomography, X-Ray Computed Deep Learning Hip Prosthesis Ureteral Calculi Metals Image Processing, Computer-Assisted Artifacts Radiation Dosage
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Efficacy of an artificial intelligence preoperative planning system for assisting in revision surgery after artificial total hip arthroplasty.

BMC surgery Feb 7, 2025
OBJECTIVE: To explore the early efficacy of an artificial intelligence preoperative planning system (AIHIP system) for assisting in hip revision surgery.
Humans Artificial Intelligence Reoperation Aged, 80 and over Arthroplasty, Replacement, Hip Retrospective Studies Adult Preoperative Care Female Male Hip Prosthesis Aged Middle Aged
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Hip prosthesis failure prediction through radiological deep sequence learning.

International journal of medical informatics Jan 22, 2025
BACKGROUND: Existing deep learning studies for the automated detection of hip prosthesis failure only consider the last available radiographic image. However, using longitudinal data is thought to improve the prediction, by combining temporal and spa...
Hip Prosthesis Middle Aged Deep Learning Prosthesis Failure Humans Neural Networks, Computer Female Aged Male
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Adverse Outcomes after Cemented and Cementless Primary Elective Total Hip Arthroplasty in 60,064 Matched Patients: A Study of Data from the Swedish Arthroplasty Register.

The Journal of arthroplasty Jan 13, 2025
BACKGROUND: The choice between cemented and cementless fixation in primary elective total hip arthroplasty (THA) remains a subject of ongoing debate. However, comparisons between the two are subject to limited adjustments for patient characteristics,...
Postoperative Complications Treatment Outcome Elective Surgical Procedures Registries Prosthesis Failure Aged, 80 and over Humans Hip Prosthesis Male Female Periprosthetic Fractures Middle Aged Sweden Cementation Aged Propensity Score Reoperation Arthroplasty, Replacement, Hip Bone Cements
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CT metal artefact reduction for hip and shoulder implants using novel algorithms and machine learning: A systematic review with pairwise and network meta-analyses.

Radiography (London, England : 1995) Nov 6, 2024
INTRODUCTION: Many tools have been developed to reduce metal artefacts in computed tomography (CT) images resulting from metallic prosthesis; however, their relative effectiveness in preserving image quality is poorly understood. This paper reviews t...
Hip Prosthesis Shoulder Prosthesis Algorithms Tomography, X-Ray Computed Metals Humans Artifacts Machine Learning
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Prediction of intraoperative press-fit stability of the acetabular cup in total hip arthroplasty using radiomics-based machine learning models.

European journal of radiology Sep 19, 2024
BACKGROUND: Preoperative prediction of the acetabular cup press-fit stability in total hip arthroplasty is necessary for clinical decision-making. This study aims to establish and validate machine learning models to investigate the feasibility of pre...
Feasibility Studies Arthroplasty, Replacement, Hip Hip Prosthesis Male Middle Aged Acetabulum Retrospective Studies Female Aged Radiomics Humans Machine Learning
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Deep Learning for Automated Classification of Hip Hardware on Radiographs.

Journal of imaging informatics in medicine Sep 12, 2024
PURPOSE: To develop a deep learning model for automated classification of orthopedic hardware on pelvic and hip radiographs, which can be clinically implemented to decrease radiologist workload and improve consistency among radiology reports.
Hip Prosthesis Retrospective Studies Female Male Deep Learning Humans Radiography Neural Networks, Computer Hip Joint Arthroplasty, Replacement, Hip Hip
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Artificial Intelligence-Based Surgery Support Model Using Intraoperative Radiographs for Assessing the Acetabular Component Angle.

The Journal of arthroplasty Sep 12, 2024
BACKGROUND: This study aimed to develop an artificial intelligence-based surgical support model for assessing the acetabular component angle using intraoperative radiographs during total hip arthroplasty and verify its accuracy.
Artificial Intelligence Tomography, X-Ray Computed Female Aged Aged, 80 and over Adult Male Middle Aged Humans Arthroplasty, Replacement, Hip Hip Prosthesis Acetabulum Radiography Surgery, Computer-Assisted
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Application of deep learning algorithms in classification and localization of implant cutout for the postoperative hip.

Skeletal radiology May 21, 2024
OBJECTIVE: This study aims to explore the feasibility of employing convolutional neural networks for detecting and localizing implant cutouts on anteroposterior pelvic radiographs.
Deep Learning Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Humans Arthroplasty, Replacement, Hip Prosthesis Failure Sensitivity and Specificity Algorithms Hip Prosthesis Male Retrospective Studies Middle Aged Female Aged
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Assessment of Automated Identification of Phases in Videos of Total Hip Arthroplasty Using Deep Learning Techniques.

Clinics in orthopedic surgery Mar 15, 2024
BACKGROUND: As the population ages, the rates of hip diseases and fragility fractures are increasing, making total hip arthroplasty (THA) one of the best methods for treating elderly patients. With the increasing number of THA surgeries and diverse s...
Deep Learning Femur Humans Hip Prosthesis Retrospective Studies Acetabulum Aged Fractures, Bone Arthroplasty, Replacement, Hip
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