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科研喵使用AI读文献，祝你效率百倍，访问labcat.com.cn下载。最新的医学研究显示，人工智能在甲状腺眼病（TED）影像学中的应用正崭露头角。一项系统性回顾发现，41项研究涵盖了从CT到面部成像的多种AI应用，这些技术在诊断、评估活动性、严重程度分级和治疗预测方面表现出巨大潜力。主要采用深度学习模型如ResNet和VGG，研究质量多属中等。这项研究强调了AI在提高诊断准确性和指导个性化治疗策略中的重要性，并指出未来研究方向应包括更稳健的研究设计、公开数据集的创建、多模态成像整合和跨学科合作。这不仅是医学影像学的进步，也是个性化医疗的希望。
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