Artificial intelligence aided precise detection of local recurrence on MRI for nasopharyngeal carcinoma: a multicenter cohort study

BACKGROUND: MRI is the routine examination to surveil the recurrence of nasopharyngeal carcinoma, but it has relatively lower sensitivity than PET/CT. We aimed to find if artificial intelligence (AI) could be competent pre-inspector for MRI radiologists and whether AI-aided MRI could perform better...

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Detalles Bibliográficos
Autores principales: OuYang, Pu-Yun, He, Yun, Guo, Jian-Gui, Liu, Jia-Ni, Wang, Zhi-Long, Li, Anwei, Li, Jiajian, Yang, Shan-Shan, Zhang, Xu, Fan, Wei, Wu, Yi-Shan, Liu, Zhi-Qiao, Zhang, Bao-Yu, Zhao, Ya-Nan, Gao, Ming-Yong, Zhang, Wei-Jun, Xie, Chuan-Miao, Xie, Fang-Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480520/
https://www.ncbi.nlm.nih.gov/pubmed/37680944
http://dx.doi.org/10.1016/j.eclinm.2023.102202

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480520/
https://www.ncbi.nlm.nih.gov/pubmed/37680944
http://dx.doi.org/10.1016/j.eclinm.2023.102202

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