Document Type
Article
Publication Date
9-15-2025
Publication Title
Cancers
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.
PubMed ID
41008865
Volume
17
Issue
18
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Hagen, Jacob; Hornung, Logan; Barham, William; Mukhopadhyay, Supratik; Bess, Adam; Contrera, Kevin; Basu, Devraj; Sandulache, Vlad; Spielmann, Guillaume; and Kansara, Sagar, "Artificial Intelligence in Head and Neck Cancer: Towards Precision Medicine" (2025). School of Medicine Faculty Publications. 4208.
https://digitalscholar.lsuhsc.edu/som_facpubs/4208
10.3390/cancers17183023
Included in
Artificial Intelligence and Robotics Commons, Clinical Epidemiology Commons, Neoplasms Commons, Oncology Commons, Otolaryngology Commons