李贵智,张九进

肺癌具有高发病率和高死亡率，早期诊断与精准诊疗对改善患者预后至关重要。本文综述了人工智能在肺癌诊疗算法中的研究进展，包括多模态医学图像融合、分割与分类技术在肺结节鉴别及早期诊断中的应用，人工智能在肺癌远处转移（如脑、骨、肝转移）和淋巴结转移预测中的效能，以及其在肺癌相关基因学分析（如基因突变预测、遗传特征揭示）中的作用。同时，探讨了当前研究存在的数据集局限、评价指标不足等问题，旨在为后续研究优化提供参考，推动人工智能在肺癌精准诊疗中的进一步应用。

人工智能；肺癌；机器学习；算法

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