Multi-center study reports machine-learning prognostic models for prostate cancer risk across biopsy cohorts, highlighting differences between systematic and targeted detection strategies.
The aims of the study were to construct a new prognostic prediction model for detecting prostate cancer (PCa) patients using machine-learning (ML) techniques and to compare those models across systematic and target biopsy detection techniques.
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Arafa et al. (2024) studied this question.
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