Deep Learning Artificial Intelligence Model for Assessment of Hip Dislocation Risk Following Primary Total Hip Arthroplasty From Postoperative Radiographs-Reference-Cited by-同舟云学术

Deep Learning Artificial Intelligence Model for Assessment of Hip Dislocation Risk Following Primary Total Hip Arthroplasty From Postoperative Radiographs

Published:2021-06 Issue:6 Volume:36 Page:2197-2203.e3
ISSN:0883-5403
Container-title:The Journal of Arthroplasty
language:en
Short-container-title:The Journal of Arthroplasty

Author:

Rouzrokh Pouria,Ramazanian Taghi,Wyles Cody C.,Philbrick Kenneth A.,Cai Jason C.,Taunton Michael J.,Maradit Kremers Hilal^ORCID,Lewallen David G.,Erickson Bradley J.

Funder

NIAMS

Publisher

Elsevier BV

Subject

Orthopedics and Sports Medicine

Reference29 articles.

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3. Risk factors for dislocation after primary total hip replacement: a systematic review and meta-analysis of 125 studies involving approximately five million hip replacements;Kunutsor;Lancet Rheumatol,2019

4. The functional and financial impact of isolated and recurrent dislocation after total hip arthroplasty;Abdel;Bone Joint J,2015

5. Dislocation following total hip replacement;Dargel;Deutsches Arzteblatt Int,2014

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