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    Deep learning for the prediction of acute kidney injury after coronary angiography and intervention in patients with chronic kidney disease: a model development and validation stud... by Ying Tang, Ting Wu, Xiufen Wang, Xi Wu, Anqun Chen, Guochun Chen, Chengyuan Tang, Liyu He, Yuting Liu, Meiyu Zeng, Xiaoqin Luo, Shaobin Duan

    Published 2025-12-01
    “…The SHapley Additive exPlanations method provided interpretability for the DNN models. A web-based tool was established to help clinicians stratify the risk of PC-AKI (https://xydsbakigroup.streamlit.app/).Conclusion The explainable DNN models serve as promising tools for predicting PC-AKI in CKD patients undergoing coronary angiography and intervention, which is crucial for risk stratification and clinical descion-making.…”
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    Development of a machine learning-based model to predict urethral recurrence following radical cystectomy: a multicentre retrospective study and updated meta-analysis by Bo Fan, Luxin Zhang, Hepeng Cui, Shanshan Bai, Haifeng Gao, Shengxiang Xiang, Yuchao Wang, Zhuwei Song, Jiaqiang Chen, Guanghai Yu, Jianbo Wang, Liang Wang, Zhiyu Liu

    Published 2025-06-01
    “…Moreover, to benefit from the clinical implications of the predictive model, an easy-to-use risk calculator tool for UR was developed online ( https://zluxin.shinyapps.io/make_web/ ) based on the GBM model. …”
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