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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
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 |
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