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利用人工智能在泌尿癌中的风险分层和结果预测:一个系统性审查

Navid Roessler1, Marcin Miszczyk2, Keiichiro Miyajima3

  • 1Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria; Department of Urology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

European urology focus
|December 18, 2025
PubMed
概括

基于数字病理学的人工智能 (DP-AI) 生物标志物显示出个性化癌症治疗的前景. 需要进一步的前性验证,以将这些AI工具集成到临床实践中,以获得更好的患者结果.

关键词:
人工智能的人工智能是人工智能.生物标志物生物标志物计算病理学计算病理学数字病理学数字病理学多模式的人工智能.泌尿系统癌症 尿道癌症

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