山东大学耳鼻喉眼学报 ›› 2024, Vol. 38 ›› Issue (3): 124-129.doi: 10.6040/j.issn.1673-3770.0.2023.037
• 综述 • 上一篇
谢玉林,雷大鹏
XIE Yulin, LEI Dapeng
摘要: 人工智能(artificial intelligence, AI)在医学领域发展迅速,广泛应用于疾病的诊断及预后评价。头颈癌是全球常见恶性肿瘤之一,其中大部分为鳞状细胞癌,头颈部鳞状细胞癌(head and neck squamous cell carcinoma, HNSCC)颈部淋巴结转移是重要的预后因素,能否准确评估颈部淋巴结转移情况影响临床决策。目前许多研究已开发出预测HNSCC颈部淋巴结转移的模型,但不同模型构建时应用的临床、病理参数不同,如何更全面地分析HNSCC患者的临床、病理数据,并建立更精准预测模型是未来的发展方向。本文通过阐述AI在病理方面的研究进展以及在HNSCC中的研究现状,对于如何运用AI有效地评估HNSCC淋巴结转移、建立更精确有效的深度学习算法展开了深入的思考与展望,从而不断提升HNSCC的诊疗水平。
中图分类号:
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