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Updated: Jun 20, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

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基于机器学习的沟通支出分析在瘤学中的突破.

Tej A Patel1, Jonathan Heintz2, Jinbo Chen3

  • 1University of Pennsylvania, Philadelphia.

NEJM AI
|July 22, 2024
PubMed
概括

一个行为干预增加了癌症患者的严重疾病对话 (SIC),减少了每位患者的生命终端支出超过13,000美元. 这种方法降低了全身疗法和门诊护理的成本,显示出了显著的财务效益.

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