科研喵使用ai读文献，祝你效率百倍，访问labcat.com.cn下载。本期关注最新研究"Application of artificial intelligence in head and neck tumor segmentation: a comparative systematic review and meta-analysis between PET and PET/CT modalities"，发表于影响因子3.4的BMC cancer期刊。这项系统综述和荟萃分析发现，AI辅助的PET/CT成像在头颈部肿瘤分割中的性能显著优于单独使用PET成像。研究显示，PET/CT组合使Dice相似系数提高0.05，敏感性提高0.04，精确度提高0.05，同时Hausdorff距离减少约3毫米。这一突破性发现不仅证实了AI在肿瘤精确分割中的临床价值，还强调了统一数据集和分布式学习系统对提升临床工作流程一致性的重要性，为头颈癌的精准治疗规划提供了新方向。
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