Stroke can lead to debilitating consequences, including loss of language. An important goal of stroke research is to use machine learning to predict outcomes and response to therapy. A new study compares different approaches to predicting post-stroke outcomes and highlights the need for systematic optimization and validation to ultimately translate scientific insights to clinical settings.

中文翻译：

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通过大脑成像预测中风后失语。

中风会导致令人衰弱的后果，包括语言丧失。中风研究的一个重要目标是使用机器学习来预测结果和对治疗的反应。一项新研究比较了预测卒中后预后的不同方法，并强调了系统优化和验证的必要性，以最终将科学见解转化为临床环境。