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Updated: Sep 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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从早期动态对比增强MRI上基于深度学习的无监督放射学来预测脏移植生存率

Léo Milecki1, Sylvain Bodard2, Vicky Kalogeiton3

  • 1MICS, CentraleSupelec, Paris-Saclay University, Inria Saclay, 9 Rue Joliot Curie, 91190 Gif-sur-Yvette, France (L.M., M.V.).

Academic radiology
|May 24, 2025
PubMed
概括

人工智能可以通过早期MRI扫描的放射性特征来预测移植生存率. 这种方法有望改善患者的治疗结果和管理移植护理.

关键词:
深度学习是一种深度学习.动态对比增强MRI的动态对比增强.无线电学 (Radiomics) 是一种无线电学.腎臟移植 腎臟移植对生存分析的分析.

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A kidney transplant is a surgical approach that involves replacing a non-functioning kidney with a healthy one from a donor. This procedure is often a treatment option for end-stage renal disease (ESRD) patients. The method requires careful recipient selection, including evaluating various medical and psychosocial factors. These criteria vary between transplant centers but generally include assessments of the patient's overall health, adherence to medical recommendations, and lifestyle...
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