The Limitations of Artificial Intelligence in Head and Neck Oncology
Publication date
2025-06
Authors
Rao, Karthik N
Fernandez-Alvarez, Veronica
Guntinas-Lichius, Orlando
Sreeram, M P
de Bree, Remco
Kowalski, Luiz P
Forastiere, Arlene
Pace-Asciak, Pia
Rodrigo, Juan P
Saba, Nabil F
Editors
Advisors
Supervisors
Document Type
Comment
Metadata
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License
cc_by_nc
Abstract
Artificial intelligence (AI) is revolutionizing head and neck oncology, offering innovations in tumor detection, treatment planning, and patient management. However, its integration into clinical practice is hindered by several limitations. These include clinician mistrust due to a lack of understanding of AI mechanisms, biases in algorithm development, and the potential over-reliance on technology, which may undermine clinical expertise. Data-related challenges, such as inconsistent quality and limited representativeness of datasets, further complicate AI’s application. Ethical, legal, and privacy concerns also pose significant barriers. Addressing these issues through transparent AI systems, clinician education, and clear regulations is essential for ensuring responsible, equitable use in head and neck oncology. This manuscript explores the limitations of AI in head and neck oncology.
Keywords
Algorithm bias, Artificial intelligence, Clinical decision support systems, Head and neck neoplasms, Limitations, Pharmacology (medical), Journal Article
Citation
Rao, K N, Fernandez-Alvarez, V, Guntinas-Lichius, O, Sreeram, M P, de Bree, R, Kowalski, L P, Forastiere, A, Pace-Asciak, P, Rodrigo, J P, Saba, N F, Ronen, O, Florek, E, Randolph, G W, Sanabria, A, Vermorken, J B, Hanna, E Y & Ferlito, A 2025, 'The Limitations of Artificial Intelligence in Head and Neck Oncology', Advances in Therapy, vol. 42, no. 6, e48633, pp. 2559-2568. https://doi.org/10.1007/s12325-025-03198-4