人工智能在头颈部鳞状细胞癌中的应用

数据集获取（Figshare）

• 源站标题：Application of artificial intelligence in head and neck squamous cell carcinoma
• DOI：10.6084/m9.figshare.31166734.v1
• 发布日期：2026-01-28
• 文件数：3 个
• 文件总体积：40.89 KB
• 源站页面：https://tandf.figshare.com/articles/dataset/Application_of_artificial_intelligence_in_head_and_neck_squamous_cell_carcinoma/31166734

命令行下载

curl -L -o "iann_a_2620191_sm6563.docx" "https://ndownloader.figshare.com/files/61416091"
curl -L -o "iann_a_2620191_sm6562.docx" "https://ndownloader.figshare.com/files/61416094"
curl -L -o "iann_a_2620191_sm6561.docx" "https://ndownloader.figshare.com/files/61416097"

文件清单

• iann_a_2620191_sm6563.docx（16.87 KB）
• iann_a_2620191_sm6562.docx（12.31 KB）
• iann_a_2620191_sm6561.docx（11.70 KB）

文件总体积 40.89 KB（源站 API 实测）。

数据说明

Background: Head and neck squamous cell carcinoma (HNSCC) emerges from the mucosal linings of the paranasal sinuses, nasal cavities, oral cavity, nasopharynx, oropharynx, hypopharynx and larynx. Despite significant advances in understanding its epidemiology, pathogenesis and treatment strategies, the survival rate of HNSCC has shown little improvement over the last 40 years, maintaining a 5-year survival outcome of approximately 50%. Although the emergence of immunotherapies, such as pembrolizumab-FDA-approved for first-line HNSCC treatment-has shown promise in enhancing therapeutic outcomes and patient prognosis, merely a limited portion of individuals with HNSCC experience advantages from these therapeutic approaches.
Main body: Consequently, the need for novel biomarkers to refine treatment selection is increasingly urgent. The swift progress of artificial intelligence (AI) in medicine has enabled large-scale biomarker screening and the creation of predictive models, which are critical for identifying immunotherapy responders and predicting patient outcomes. This review summarizes current immunotherapeutic approaches in HNSCC and examines the role of AI in advancing immunotherapy strategies.
Discussion: Furthermore, it discusses the challenges, opportunities and strategies associated with integrating AI into clinical practice. Finally, the review highlights the transformative potential of AI in HNSCC immunotherapy and offers perspectives on its future applications.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.31166734.v1（source: https://tandf.figshare.com/articles/dataset/Application_of_artificial_intelligence_in_head_and_neck_squamous_cell_carcinoma/31166734）。