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

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

Abstract 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 e...

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Bibliographic Details
Main Authors: Huiyong Zhang, Jin Ji, Zhe Liu, Huiru Lu, Chong Qian, Chunmeng Wei, Shaohua Chen, Wenhao Lu, Chengbang Wang, Huan Xu, Yalong Xu, Xi Chen, Xing He, Zuheng Wang, Xiaodong Zhao, Wen Cheng, Xingfa Chen, Guijian Pang, Guopeng Yu, Yue Gu, Kangxian Jiang, Bin Xu, Junyi Chen, Xuedong Wei, Ming Chen, Rui Chen, Jiwen Cheng, Fubo Wang
Format: Article
Language:English
Published: BMC 2023-07-01
Series:BMC Medicine
Subjects:
Prostate cancer
PCAIDS
Artificial intelligence
Machine learning
Diagnosis
Online Access:https://doi.org/10.1186/s12916-023-02964-x

Internet

https://doi.org/10.1186/s12916-023-02964-x

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