Advances in the Application of Radiomics and Deep Learning for the Diagnosis and Treatment of Head and Neck Squamous Cell Carcinoma

影像组学与深度学习技术在医学影像诊断中的应用，为临床实践带来了新颖且先进的方法，极大地促进了精准医疗的发展。本文综述了影像组学与深度学习在头颈鳞状细胞癌(head and neck squamous cell carcinoma, HNSCC)诊疗中的最新进展，涵盖了术前精确诊断、颈部淋巴结转移预测、肿瘤基因表型分析及预后评估等多个关键领域。此外，本文还探讨了影像组学与深度学习在临床应用中面临的主要挑战，并对其未来的发展方向进行了展望。The application of radiomics and deep learning technologies in medical imaging diagnosis has introduced novel and advanced methods to clinical practice, significantly advancing the development of precision medicine. This article reviews the latest progress in the use of radiomics and deep learning in the diagnosis and treatment of head and neck squamous cell carcinoma (HNSCC), covering key areas such as precise preoperative diagnosis, prediction of cervical lymph node metastasis, tumor genotype analysis, and prognosis assessment. Additionally, the article discusses the main challenges faced by radiomics and deep learning in clinical applications and provides an outlook on their future development directions.