Using artificial neural networks to predict impingement and dislocation in total hip arthroplasty-Reference-Cited by-同舟云学术

Using artificial neural networks to predict impingement and dislocation in total hip arthroplasty

Published:2020-05-04 Issue:10 Volume:23 Page:649-657
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Alastruey-López D.¹,Ezquerra L.²,Seral B.¹³,Pérez M. A.¹

Affiliation:

1. M2BE-Multiscale in Mechanical and Biological Engineering, Instituto de Investigación en Ingeniería de Aragón (I3A), Aragón Institute of Health Science (IACS), Universidad de Zaragoza, Zaragoza, España;

2. Hospital San Jorge, Huesca, Spain

3. University Clinic Hospital “Lozano Blesa”, Aragón Institute of Health Science (IACS), University of Zaragoza, Zaragoza, Spain;

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2020.1757661

Reference40 articles.

1. Dislocation After Total Hip Arthroplasty: Implant Design and Orientation

2. Reducing the risk of dislocation after total hip arthroplasty

3. The Epidemiology of Revision Total Hip Arthroplasty in the United States

4. (ii) Impingement in total hip replacement: mechanisms and consequences

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