训练于乳腺X光片的AI模型显示出预测长期乳腺癌风险的潜力-动脉网

AI Models Trained on Mammograms Show Potential to Predict Long-Term Breast Cancer Risk

GeneOnline 等信源发布 2025-12-15 21:35

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A recent study highlights advancements in the use of artificial intelligence (AI) to analyze mammograms, potentially enabling predictions about a patient’s future risk of developing breast cancer. Researchers have developed AI models capable of assessing mammogram images to identify patterns that may indicate an increased likelihood of cancer years before it becomes detectable through traditional methods.

最近的一项研究强调了人工智能（AI）在分析乳腺X光片方面的进步，这可能使得预测患者未来患乳腺癌的风险成为可能。研究人员已经开发出能够评估乳腺X光图像的AI模型，以识别可能表明癌症风险增加的模式，而这些模式在传统方法检测到前几年就可能出现。

This approach could lead to earlier interventions and more personalized screening strategies..

这种方法可能会导致更早的干预和更加个性化的筛查策略。

The study involved training AI algorithms on large datasets of mammogram images paired with patient outcomes. By analyzing subtle changes in breast tissue, the AI demonstrated an ability to predict long-term cancer risk with significant accuracy. The research team emphasized that this technology is still under development and requires further validation before widespread implementation.

该研究涉及在大量乳腺X光图像和患者结果的数据集上训练人工智能算法。通过分析乳腺组织的细微变化，该人工智能展现了以显著准确性预测长期癌症风险的能力。研究团队强调，这项技术仍在开发中，在广泛实施之前还需要进一步验证。

However, experts suggest that such tools could complement existing diagnostic methods and improve early detection efforts in the future..

然而，专家建议，此类工具可以补充现有的诊断方法，并改善未来的早期检测工作。

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Date: December 15, 2025

日期：2025年12月15日

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