Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Turner Street, London E1 2AD, UK.
Curr Oncol. 2024 Sep 6;31(9):5255-5290. doi: 10.3390/curroncol31090389.
Artificial intelligence (AI) is revolutionizing head and neck cancer (HNC) care by providing innovative tools that enhance diagnostic accuracy and personalize treatment strategies. This review highlights the advancements in AI technologies, including deep learning and natural language processing, and their applications in HNC. The integration of AI with imaging techniques, genomics, and electronic health records is explored, emphasizing its role in early detection, biomarker discovery, and treatment planning. Despite noticeable progress, challenges such as data quality, algorithmic bias, and the need for interdisciplinary collaboration remain. Emerging innovations like explainable AI, AI-powered robotics, and real-time monitoring systems are poised to further advance the field. Addressing these challenges and fostering collaboration among AI experts, clinicians, and researchers is crucial for developing equitable and effective AI applications. The future of AI in HNC holds significant promise, offering potential breakthroughs in diagnostics, personalized therapies, and improved patient outcomes.
人工智能（AI）通过提供提高诊断准确性和个性化治疗策略的创新工具，正在彻底改变头颈部癌症（HNC）的治疗方法。本综述强调了 AI 技术的进步，包括深度学习和自然语言处理，以及它们在 HNC 中的应用。探讨了 AI 与成像技术、基因组学和电子健康记录的集成，强调了其在早期检测、生物标志物发现和治疗计划中的作用。尽管取得了显著进展，但仍存在数据质量、算法偏见以及跨学科合作等方面的挑战。新兴的创新技术，如可解释 AI、人工智能驱动的机器人技术和实时监测系统，有望进一步推动该领域的发展。解决这些挑战并促进 AI 专家、临床医生和研究人员之间的合作对于开发公平有效的 AI 应用至关重要。AI 在 HNC 中的未来具有巨大的潜力，有望在诊断、个性化治疗和改善患者预后方面取得突破。
