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An innovative approach for predicting prostate cancer Gleason grading: machine learning-based fusion of multimodal ultrasound, clinical and laboratory indicators

Crossref DOI link: https://doi.org/10.1186/s40001-025-03426-1

Published Online: 2025-11-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Xie, WenLong

Wu, GuangZhen

Qi, XiaoChen

Zhong, Lin

Guo, LiYing

Tong, MengYing

Che, Ying
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Text and Data Mining valid from 2025-11-03

Version of Record valid from 2025-11-03
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Article History

Received: 13 September 2025

Accepted: 27 October 2025

First Online: 3 November 2025

Declarations

:

: This study complied with the 1964 Helsinki Declaration and its later amendments ethical standards, This study has been granted ethical approval by the Ethics Committee of The First Affiliated Hospital of Dalian Medical University (NO. PJ-KS-KY-2025-184). Before the submission of this manuscript, we have obtained consent to publish from all participants in our study.

: Not applicable.

: The authors declare no competing interests.

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