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The Use of Artificial Intelligence in Head and Neck Cancers: A Multidisciplinary Survey

Articolo
Data di Pubblicazione:
2024
Abstract:
Artificial intelligence (AI) approaches have been introduced in various disciplines but remain rather unused in head and neck (H&N) cancers. This survey aimed to infer the current applications of and attitudes toward AI in the multidisciplinary care of H&N cancers. From November 2020 to June 2022, a web-based questionnaire examining the relationship between AI usage and professionals’ demographics and attitudes was delivered to different professionals involved in H&N cancers through social media and mailing lists. A total of 139 professionals completed the questionnaire. Only 49.7% of the respondents reported having experience with AI. The most frequent AI users were radiologists (66.2%). Significant predictors of AI use were primary specialty (V = 0.455; p < 0.001), academic qualification and age. AI’s potential was seen in the improvement of diagnostic accuracy (72%), surgical planning (64.7%), treatment selection (57.6%), risk assessment (50.4%) and the prediction of complications (45.3%). Among participants, 42.7% had significant concerns over AI use, with the most frequent being the ‘loss of control’ (27.6%) and ‘diagnostic errors’ (57.0%). This survey reveals limited engagement with AI in multidisciplinary H&N cancer care, highlighting the need for broader implementation and further studies to explore its acceptance and benefits.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
artificial intelligence; diagnostic accuracy; head and neck cancers; multidisciplinary care; survey
Elenco autori:
Giannitto, C.; Carnicelli, G.; Lusi, S.; Ammirabile, A.; Casiraghi, E.; De Virgilio, A.; Esposito, A. A.; Farina, D.; Ferreli, F.; Franzese, C.; Frigerio, G. M.; Lo Casto, A.; Malvezzi, L.; Lorini, L.; Othman, A. E.; Preda, L.; Scorsetti, M.; Bossi, P.; Mercante, G.; Spriano, G.; Balzarini, L.; Francone, M.
Autori di Ateneo:
FARINA DAVIDE
Link alla scheda completa:
https://iris.unibs.it/handle/11379/622053
Pubblicato in:
JOURNAL OF PERSONALIZED MEDICINE
Journal
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