Original paper
Artificial Intelligence to Identify Arthroplasty Implants From Radiographs of the Hip
Abstract
Background The surgical management of complications surrounding patients who have undergone hip arthroplasty necessitates accurate identification of the femoral implant manufacturer and model. Failure to do so risks delays in care, increased morbidity, and further economic burden. Because few arthroplasty experts can confidently classify implants using plain radiographs, automated image processing using deep learning for implant identification...
Paper Details
Title
Artificial Intelligence to Identify Arthroplasty Implants From Radiographs of the Hip
Published Date
Jul 1, 2021
Journal
Volume
36
Issue
7
Pages
S290 - S294.e1
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History