AIMC Topic: Hip Prosthesis

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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.
Sensitivity and Specificity Male Middle Aged Retrospective Studies Female Aged Arthroplasty, Replacement, Hip Prosthesis Failure Hip Prosthesis Deep Learning Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Humans Algorithms
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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...
Fractures, Bone Hip Prosthesis Humans Aged Retrospective Studies Arthroplasty, Replacement, Hip Deep Learning Femur Acetabulum
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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...
Reproducibility of Results Aged Aged, 80 and over Artificial Intelligence Prospective Studies Female Imaging, Three-Dimensional Arthroplasty, Replacement, Hip Preoperative Care Adult Male Middle Aged Humans Hip Prosthesis
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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...
Robotic Surgical Procedures Hip Joint Arthroplasty, Replacement, Hip Preoperative Care Hip Prosthesis Reproducibility of Results Acetabulum Robotics Software Retrospective Studies Humans
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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...
Humans Retrospective Studies Hip Prosthesis Risk Factors Arthroplasty, Replacement, Hip Deep Learning Periprosthetic Fractures Femur Femoral Fractures Reoperation
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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...
Deep Learning Arthroplasty, Replacement, Hip Tomography, X-Ray Computed Workflow Hip Prosthesis Hip Joint
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THA-AID: Deep Learning Tool for Total Hip Arthroplasty Automatic Implant Detection With Uncertainty and Outlier Quantification.

The Journal of arthroplasty Sep 26, 2023
BACKGROUND: Revision total hip arthroplasty (THA) requires preoperatively identifying in situ implants, a time-consuming and sometimes unachievable task. Although deep learning (DL) tools have been attempted to automate this process, existing approac...
Uncertainty Acetabulum Arthroplasty, Replacement, Hip Hip Prosthesis Humans Retrospective Studies Deep Learning
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THA-Net: A Deep Learning Solution for Next-Generation Templating and Patient-specific Surgical Execution.

The Journal of arthroplasty Aug 22, 2023
BACKGROUND: This study introduces THA-Net, a deep learning inpainting algorithm for simulating postoperative total hip arthroplasty (THA) radiographs from a single preoperative pelvis radiograph input, while being able to generate predictions either ...
Humans Hip Joint Retrospective Studies Arthroplasty, Replacement, Hip Deep Learning Hip Prosthesis Radiography
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Combining deep learning and machine learning for the automatic identification of hip prosthesis failure: Development, validation and explainability analysis.

International journal of medical informatics May 18, 2023
AIM: Revision hip arthroplasty has a less favorable outcome than primary total hip arthroplasty and an understanding of the timing of total hip arthroplasty failure may be helpful. The aim of this study is to develop a combined deep learning (DL) and...
Prosthesis Failure Hip Prosthesis Humans Machine Learning Deep Learning Arthroplasty, Replacement, Hip
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Precise acetabular positioning, discrepancy in leg length, and hip offset using a new seven-axis robot-assisted total hip arthroplasty system requires no learning curve: a retrospective study.

Journal of orthopaedic surgery and research Mar 24, 2023
OBJECTIVE: The purpose of the present study was to determine the learning curve for a novel seven-axis robot-assisted total hip arthroplasty (RA-THA) system, and to explore whether it was able to provide greater accuracy in acetabular cup positioning...
Robotics Female Humans Hip Joint Male Leg Retrospective Studies Arthroplasty, Replacement, Hip Acetabulum Hip Prosthesis
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