Leveraging digital twins for improved orthopaedic evaluation and treatment

Leveraging digital twins for improved orthopaedic evaluation and treatment

Abstract Purpose The purpose of this article is to explore the potential of digital twin technologies in orthopaedics and to evaluate how their integration with artificial intelligence (AI) and deep learning (DL) can improve orthopaedic evaluation and treatment. This review addresses key application...

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Bibliographic Details
Main Authors: Michael C. Dean, Jacob F. Oeding, Pedro Diniz, Romain Seil, Kristian Samuelsson, ESSKA Artificial Intelligence Working Group
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:Journal of Experimental Orthopaedics
Subjects:
artificial intelligence
augmented reality
deep learning
digital twin
orthopaedics
Online Access:https://doi.org/10.1002/jeo2.70084
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