Artificial Intelligence Approach in Hip Prosthesis Identification and Addressing Radiographic Outcome Measures

Artificial Intelligence Approach in Hip Prosthesis Identification and Addressing Radiographic Outcome Measures

Background: Radiographic assessment is crucial for the success of a hip arthroplasty procedure as a correctly positioned prosthesis indicates favorable long-term outcomes. This project aims to develop a novel artificial intelligence (AI)–based method that can (1) automatically identify the presence...

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Bibliographic Details
Main Authors: Omar Musbahi, MSc, ChM, Savvas Hadjixenophontos, MEng, Saran S. Gill, Iris Soteriou, Bsc, Kyriacos Pouris, Bsc, Takuro Ueno, PhD, Justin P. Cobb, MCh
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Arthroplasty Today
Subjects:
Computer vision
Artificial intelligence
Machine learning
Hip
Detection
Online Access:http://www.sciencedirect.com/science/article/pii/S2352344125001049
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