Artificial intelligence (AI) approaches have been introduced in various disciplines but re- main rather unused in head and neck (H&N) cancers. This survey aimed to infer the current appli- cations of and attitudes toward AI in the multidisciplinary care of H&N cancer s. 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 fre- quent 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 con- cerns 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.
The Use of Artificial Intelligence in Head and Neck Cancers: A Multidisciplinary Survey / C. Giannitto, G. Carnicelli, S. Lusi, A. Ammirabile, E. Casiraghi, A. De Virgilio, A. Esposito, D. Farina, F. Ferreli, C. Franzese, G.M. Frigerio, A. Lo Casto, L. Malvezzi, L. Lorini, A. Othman, L. Preda, M. Scorsetti, P. Bossi, G. Mercante, G. Spriano, L. Balzarini, M. Francone. - In: JOURNAL OF PERSONALIZED MEDICINE. - ISSN 2075-4426. - 14:4(2024), pp. 341.1-341.13. [10.3390/jpm14040341]
The Use of Artificial Intelligence in Head and Neck Cancers: A Multidisciplinary Survey
E. Casiraghi;
2024
Abstract
Artificial intelligence (AI) approaches have been introduced in various disciplines but re- main rather unused in head and neck (H&N) cancers. This survey aimed to infer the current appli- cations of and attitudes toward AI in the multidisciplinary care of H&N cancer s. 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 fre- quent 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 con- cerns 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.File | Dimensione | Formato | |
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