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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Autors principals:	Michael C. Dean, Jacob F. Oeding, Pedro Diniz, Romain Seil, Kristian Samuelsson, ESSKA Artificial Intelligence Working Group
Format:	Artigo
Idioma:	Inglês
Publicat:	Wiley 2024-10-01
Col·lecció:	Journal of Experimental Orthopaedics
Matèries:	artificial intelligence augmented reality deep learning digital twin orthopaedics
Accés en línia:	https://doi.org/10.1002/jeo2.70084
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