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Updated: May 20, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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在一般重症监护场景中验证癌症群体衍生AKI机器学习算法

Lauren Abigail Scanlon1, Catherine O'Hara2, Matthew Barker-Hewitt2

  • 1Clinical Outcomes and Data Unit, The Christie NHS Foundation Trust, Manchester, M20 4BX, UK. l.scanlon@nhs.net.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
|March 27, 2025
PubMed
概括

开发用于预测癌症患者急性损伤 (AKI) 的机器学习算法也在非癌症患者中表现出强的表现. 这种经过验证的模型证明了AKI在各种临床环境中早期检测的广泛适用性.

关键词:
急性损伤是什么?急性损伤是什么?人工智能的人工智能是人工智能.临床决策的过程机器学习 机器学习展望性研究是指前性研究.追溯研究是回顾性研究.

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