AIMC Topic: Prosthesis Failure

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A Deep Learning Framework for Design and Analysis of Surgical Bioprosthetic Heart Valves.

Scientific reports Dec 6, 2019
Bioprosthetic heart valves (BHVs) are commonly used as heart valve replacements but they are prone to fatigue failure; estimating their remaining life directly from medical images is difficult. Analyzing the valve performance can provide better guida...
Tomography, X-Ray Computed Biomechanical Phenomena Humans Decision Support Techniques Image Processing, Computer-Assisted Prosthesis Design Feasibility Studies Computer-Aided Design Deep Learning Prosthesis Failure Bioprosthesis Heart Valves Heart Valve Prosthesis Implantation Heart Valve Prosthesis Finite Element Analysis Models, Cardiovascular
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Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning.

PloS one Sep 26, 2019
The blood flow through the major vessels holds great diagnostic potential for the identification of cardiovascular complications and is therefore routinely assessed with current diagnostic modalities. Heart valves are subject to high hydrodynamic loa...
Models, Cardiovascular Prosthesis Failure Bioprosthesis Heart Valves Heart Valve Prosthesis Echocardiography, Doppler Datasets as Topic Magnetic Resonance Angiography Humans Machine Learning Diagnosis, Computer-Assisted Hemodynamics Regional Blood Flow
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Incremental inputs improve the automated detection of implant loosening using machine-learning algorithms.

The bone & joint journal Jun 1, 2020
AIMS: The aim of this study was to evaluate the ability of a machine-learning algorithm to diagnose prosthetic loosening from preoperative radiographs and to investigate the inputs that might improve its performance.
Aged Humans Male Machine Learning Radiography Middle Aged Knee Prosthesis Algorithms Postoperative Complications Prosthesis Failure Female
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Artificial Neural Networking Model for the Prediction of Early Occlusion of Bilateral Plastic Stent Placement for Inoperable Hilar Cholangiocarcinoma.

Surgical laparoscopy, endoscopy & percutaneous techniques Apr 1, 2018
BACKGROUND: This study aimed to determine whether the back-propagation artificial neural network (BP-ANN) model could be constructed to accurately in predicting early occlusion of bilateral plastic stent placement for inoperable hilar cholangiocarcin...
Prosthesis Design Stents Early Diagnosis Palliative Care Neural Networks, Computer Plastics Prospective Studies Neoplasm Staging Aged Humans ROC Curve Retrospective Studies Male Follow-Up Studies Prosthesis Failure Bile Duct Neoplasms Female Postoperative Complications Bile Ducts, Intrahepatic Klatskin Tumor
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Is Gelsolin a Biomarker for Aseptic Loosening After Total Knee Arthroplasty?

Journal of long-term effects of medical implants Jan 1, 2015
Gelsolin (GSN) has been implicated in inflammatory reactions in asthmatic patients and may be a marker for acute or chronic reactions in synovial tissue. Detection of increased levels of GSN in synovial fluid could differentiate between aseptic loose...
Reoperation Prosthesis Failure Knee Prosthesis Synovial Fluid Cadaver Gelsolin Humans Arthroplasty, Replacement, Knee Biomarkers
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