Toward an artificial intelligence‐assisted framework for reconstructing the digital twin of vertebra and predicting its fracture response

This article presents an effort toward building an artificial intelligence (AI) assisted framework, coined ReconGAN, for creating a realistic digital twin of the human vertebra and predicting the risk of vertebral fracture (VF). ReconGAN consists of a deep convolutional generative adversarial networ...

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Detalles Bibliográficos
Autores principales: Ahmadian, Hossein, Mageswaran, Prasath, Walter, Benjamin A., Blakaj, Dukagjin M., Bourekas, Eric C., Mendel, Ehud, Marras, William S., Soghrati, Soheil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Basic Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285948/
https://www.ncbi.nlm.nih.gov/pubmed/35403831
http://dx.doi.org/10.1002/cnm.3601

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285948/
https://www.ncbi.nlm.nih.gov/pubmed/35403831
http://dx.doi.org/10.1002/cnm.3601

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