An interpretable CT-based deep learning model for predicting overall survival in patients with bladder cancer: a multicenter study

An interpretable CT-based deep learning model for predicting overall survival in patients with bladder cancer: a multicenter study

Abstract Predicting the prognosis of bladder cancer remains challenging despite standard treatments. We developed an interpretable bladder cancer deep learning (BCDL) model using preoperative CT scans to predict overall survival. The model was trained on a cohort (n = 765) and validated in three ind...

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Bibliographic Details
Main Authors: Meng Zhang, Yizhong Zhao, Dapeng Hao, Yancheng Song, Xiaotong Lin, Feng Hou, Yonghua Huang, Shifeng Yang, Haitao Niu, Cheng Lu, Hexiang Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-025-01083-5
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