Advancements in Image-Based Artificial Intelligence in the Diagnosis and Treatment of Head and Neck Squamous Cell Carcinoma: A Narrative Review
Bingyi Wu, Jia Gu, Tingsong Chen · 2026
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Description
Bingyi Wu, Jia Gu, and Tingsong Chen survey image-based AI for a common head and neck cancer in a 2026 review. This squamous cell cancer needs earlier detection and better-tailored treatment to lift outcomes. Radiomics and deep learning now read scans for signs humans miss.
The review walks through imaging types and the basic pipelines of both methods. Uses cover screening, diagnosis, staging, grading, pre-treatment checks, and outcome forecasting. Newer imaging, from hyperspectral to infrared spectroscopy, is merging with AI as well. A caution runs through: most studies are retrospective and single-center with little outside validation. Prospective multi-center trials are the missing step to the clinic.
Catalog record
| CREATOR | Bingyi Wu, Jia Gu, Tingsong Chen |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 56 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |