Language

English

Publication Date

9-16-2025

Journal

Cancers

DOI

10.3390/cancers17183023

PMID

41008865

PMCID

PMC12469001

PubMedCentral® Posted Date

9-16-2025

PubMedCentral® Full Text Version

Post-print

Abstract

Over the past 20 years, the capabilities of artificial intelligence (AI) have gained significant interest. While AI has been implemented to various degrees in several disciplines, its unique applications in head and neck cancer (HNC) remain underdeveloped. This narrative review examines the existing body of literature regarding the use of AI in HNC. Studies to date have demonstrated AI’s utility across multiple phases of the HNC treatment continuum. Despite its promise, integrating AI into clinical practice faces several challenges, including concerns about system integrity, generalizability, privacy, and bias. In this review, we address these challenges and offer insights into future directions to help overcome them and advance AI’s integration into HNC care as a step toward personalized medicine. Additionally, we highlight the importance of multidisciplinary and multispecialty collaboration in cultivating a robust body of research that will support the optimization of AI in clinical practice.

Keywords

artificial intelligence, machine learning, deep learning, artificial neural network, head and neck cancer, squamous cell carcinoma

Published Open-Access

yes

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