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AI‐driven preoperative risk assessment in kidney cancer surgery: A comparative feasibility study of machine learning models
1
Zitationen
12
Autoren
2025
Jahr
Abstract
The ML models provide valuable information for preoperative risk stratification of patients undergoing renal tumour surgery. This study suggests that NNs are the most appropriate models to stratify patients regarding the occurrence of MCs and AKIs, respectively. The models are made publicly available for reproducibility.
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