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Updated: May 29, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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利用人工智能预测乳腺癌复发:对临床和成像数据的系统审查

Jaqueline Alvarenga Silveira1, Alexandre Ray da Silva1, Mariana Zuliani Theodoro de Lima2,3

  • 1OncoAI, Oncologia Inteligência Artificial, Cel Jose Eusebio, 95, Sao Paulo, Sao Paulo, 01239-030, Brazil.

Discover oncology
|February 8, 2025
PubMed
概括

人工智能 (AI) 使用临床和成像数据帮助预测乳腺癌复发. 像支持矢量机器和神经网络这样的机器学习模型显示出个性化治疗策略的前景.

关键词:
乳腺癌复发预测和预测乳腺癌存活率分析模型在乳腺癌的深度学习.机器学习在乳腺癌中的应用

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Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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