AIMC Topic: Arthroplasty, Replacement, Hip

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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.
Humans Artificial Intelligence Tomography, X-Ray Computed Arthroplasty, Replacement, Knee Arthroplasty, Replacement, Hip Preoperative Care Magnetic Resonance Imaging Surgery, Computer-Assisted Imaging, Three-Dimensional
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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...
Preoperative Care Hip Prosthesis Software Robotic Surgical Procedures Hip Joint Acetabulum Arthroplasty, Replacement, Hip Humans Robotics Retrospective Studies Reproducibility of Results
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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...
Case-Control Studies Deep Learning Osteoarthritis Humans Retrospective Studies Arthroplasty, Replacement, Hip
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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...
Arthroplasty, Replacement, Hip Femur Hip Prosthesis Periprosthetic Fractures Femoral Fractures Risk Factors Deep Learning Reoperation Humans Retrospective Studies
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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...
Workflow Hip Joint Arthroplasty, Replacement, Hip Tomography, X-Ray Computed Deep Learning Hip Prosthesis
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The invasiveness of robot-assisted total hip replacement is similar to that of conventional surgery.

Journal of robotic surgery Oct 27, 2023
Robot-assisted total hip arthroplasty (R-THA) is increasingly being performed throughout the world. The invasiveness of this operation is unknown. We retrospectively reviewed the cohort of consecutive osteonecrosis of the femoral head (ONFH) patients...
Retrospective Studies Treatment Outcome Biomarkers Robotic Surgical Procedures Arthroplasty, Replacement, Hip Humans Robotics
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Robotic-assisted total hip arthroplasty utilizing a fluoroscopy-guided system resulted in improved intra-operative efficiency relative to a computerized tomography-based platform.

Journal of robotic surgery Sep 28, 2023
Robotic-assisted total hip arthroplasty (THA) using a computerized-tomography (CT) based workflow increases surgical time relative to traditional manual technique. The purpose of this investigation was to compare the intra-operative efficiencies of t...
Fluoroscopy Retrospective Studies Arthroplasty, Replacement, Hip Robotics Tomography, X-Ray Computed Humans Robotic Surgical Procedures
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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 Humans Acetabulum Retrospective Studies Arthroplasty, Replacement, Hip Deep Learning Hip Prosthesis
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Perioperative safety and efficacy of robot-assisted total hip arthroplasty in ERAS-managed patients: a pilot study.

Journal of orthopaedic surgery and research Sep 18, 2023
AIMS: Robot-assisted total hip arthroplasty (rTHA) boasts superior accuracy in implant placement, but there is a lack of effective assessment in perioperative management in the context of enhanced recovery after surgery (ERAS). This study aimed to co...
Young Adult Adult Pilot Projects Adolescent Middle Aged Prospective Studies Aged Aged, 80 and over Humans Enhanced Recovery After Surgery Robotics Arthroplasty, Replacement, Hip Pain
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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 ...
Arthroplasty, Replacement, Hip Deep Learning Humans Hip Prosthesis Radiography Retrospective Studies Hip Joint
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