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Updated: Feb 4, 2026

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使用人工智能和机器学习预测多发性硬化症预后:整合临床,免疫和放射变量

Suhail Al-Shammri1, Ahmet Özdil2, Amro Aboukoura3

  • 1Department of Medicine, College of Medicine, Kuwait University, Safat, Kuwait.

Frontiers in neurology
|February 2, 2026
PubMed
概括

机器学习模型使用细胞因子配置文件准确预测多发性硬化症 (MS) 的进展. 这些模型预测残疾和MRI病变变化,有助于复发性复发性多发性硬化 (RRMS) 的临床管理.

关键词:
在EDSS中使用EDSS.这就是为什么MRI是MRI.机器学习是机器学习.多发性硬化症 多发性硬化症预测 预测 预测 预测灵敏度 灵敏度 灵敏度 灵敏度 灵敏度特殊性的特异性

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