Standardized Fixation Zones and Cone Assessments for Revision Total Knee Arthroplasty Using Deep Learning
Author:
Publisher
Elsevier BV
Subject
Orthopedics and Sports Medicine
Reference24 articles.
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2. The effect of patient age at intervention on risk of implant revision after total replacement of the hip or knee: a population-based cohort study;Bayliss;Lancet,2017
3. Dealing with the predicted increase in demand for revision total knee arthroplasty: challenges, risks and opportunities;Hamilton;Bone Joint J,2015
4. Age at hip or knee joint replacement surgery predicts likelihood of revision surgery;Wainwright;J Bone Joint Surg Br,2011
5. Classification of bone loss with failed stemmed components in revision total knee arthroplasty;Scuderi;J Arthroplasty,2022
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1. Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion;Artificial Intelligence in Medicine;2024-09
2. A novel quantitative grading system for implant fixation in revision total knee arthroplasty;The Bone & Joint Journal;2024-05-01
3. Medical Imaging Applications Developed Using Artificial Intelligence Demonstrate High Internal Validity Yet Are Limited in Scope and Lack External Validation;Arthroscopy: The Journal of Arthroscopic & Related Surgery;2024-02
4. The Management of Bone Defects in Revision Knee Arthroplasty: The Role of Porous Metal Cones and 3D-Printed Cones;Prosthesis;2023-11-16
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