The Role of Artificial Intelligence in Detection and Treatment of Head and Neck Cancer

Dear Colleagues,

Artificial intelligence has become central to modern head and neck cancer (HNC) research. Advances in machine learning, deep learning, large language models, computer vision, and multimodal data fusion are reshaping early detection, risk stratification, treatment planning, and outcome prediction. These methods enable integration of imaging, pathology, genomics, and clinical data at scales and resolutions not previously possible, improving diagnostic accuracy and supporting personalized therapeutic decisions.

This Special Issue of Cancers, titled “The Role of Artificial Intelligence in Detection and Treatment of Head and Neck Cancer”, will highlight original research and reviews that advance AI-driven methodologies across the HNC care continuum. Topics include AI and ML-based detection, treatment response modeling, large language models applications, multimodal integration, computer vision, and pathomics. We also welcome studies that address clinical deployment, such as workflow integration, model generalizability, bias mitigation, regulatory considerations, and real-world validation across care settings. Work that combines AI with radiotherapy planning, surgical decision support, or molecular profiling is of particular interest given its potential to accelerate precision oncology. We invite contributions that develop new algorithms, validate clinical performance, or define responsible translation of AI tools into oncology practice.

Dr. Sophia Z. Shalhout
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.

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