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Updated: Jun 7, 2025

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一个基于机器学习的临床显著前列腺癌和在线风险计算器的新型预测模型

Flavio Vasconcelos Ordones1, Paulo Roberto Kawano2, Lodewikus Vermeulen3

  • 1Tauranga Public Hospital, Tauranga, Bay of Plenty, New Zealand; University of Auckland, Auckland, New Zealand; Urology Department, UNESP, São Paulo State University, Botucatu, SP, Brazil.

Urology
|November 13, 2024
PubMed
概括

一个新的机器学习模型使用PI-RADS分数和PSA密度准确预测临床显著的前列腺癌 (csPCa). 这种综合方法可以比单个预测器更好地进行检测.

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