An artificial intelligence powered platform for auto-analyses of spine alignment irrespective of image quality with prospective validation

BACKGROUND: Assessment of spine alignment is crucial in the management of scoliosis, but current auto-analysis of spine alignment suffers from low accuracy. We aim to develop and validate a hybrid model named SpineHRNet+, which integrates artificial intelligence (AI) and rule-based methods to improv...

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Detalles Bibliográficos
Autores principales: Meng, Nan, Cheung, Jason P.Y., Wong, Kwan-Yee K., Dokos, Socrates, Li, Sofia, Choy, Richard W., To, Samuel, Li, Ricardo J., Zhang, Teng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741432/
https://www.ncbi.nlm.nih.gov/pubmed/35028544
http://dx.doi.org/10.1016/j.eclinm.2021.101252

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741432/
https://www.ncbi.nlm.nih.gov/pubmed/35028544
http://dx.doi.org/10.1016/j.eclinm.2021.101252

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