Artificial intelligence for the diagnosis of clinically significant prostate cancer based on multimodal data: a multicenter study

BACKGROUND: The introduction of multiparameter MRI and novel biomarkers has greatly improved the prediction of clinically significant prostate cancer (csPCa). However, decision-making regarding prostate biopsy and prebiopsy examinations is still difficult. We aimed to establish a quick and economic...

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Detalles Bibliográficos
Autores principales: Zhang, Huiyong, Ji, Jin, Liu, Zhe, Lu, Huiru, Qian, Chong, Wei, Chunmeng, Chen, Shaohua, Lu, Wenhao, Wang, Chengbang, Xu, Huan, Xu, Yalong, Chen, Xi, He, Xing, Wang, Zuheng, Zhao, Xiaodong, Cheng, Wen, Chen, Xingfa, Pang, Guijian, Yu, Guopeng, Gu, Yue, Jiang, Kangxian, Xu, Bin, Chen, Junyi, Wei, Xuedong, Chen, Ming, Chen, Rui, Cheng, Jiwen, Wang, Fubo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367399/
https://www.ncbi.nlm.nih.gov/pubmed/37488510
http://dx.doi.org/10.1186/s12916-023-02964-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367399/
https://www.ncbi.nlm.nih.gov/pubmed/37488510
http://dx.doi.org/10.1186/s12916-023-02964-x

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