Emerging applications of artificial intelligence for risk stratification in head and neck cancer: a scoping review

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Head and neck cancer presents significant challenges due to its biological and anatomical heterogeneity, complicating risk assessment.
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Artificial intelligence has emerged as a promising tool for enhancing risk stratification in head and neck cancer through advanced data analysis.
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The scoping review included 44 studies, primarily utilizing machine learning and deep learning for diagnostic and prognostic tasks.
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Despite moderate to high predictive performance, the studies exhibited substantial methodological heterogeneity and limited external validation.
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Successful clinical implementation of AI in oncology requires addressing challenges related to standardization, validation, and ethical considerations.

Frontiers In Oncology

by Valeria Concha Fernández, Mariana González Garcés, Jerónimo Cárdenas Montoya, Mario Andrés Torres Torres, Erwin Hernando Hernández Rincón
May 28, 2026

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