: 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.

The Use of Artificial Intelligence in Head and Neck Cancers: A Multidisciplinary Survey / Giannitto, Caterina; Carnicelli, Giorgia; Lusi, Stefano; Ammirabile, Angela; Casiraghi, Elena; De Virgilio, Armando; Esposito, Andrea Alessandro; Farina, Davide; Ferreli, Fabio; Franzese, Ciro; Frigerio, Gian Marco; Lo Casto, Antonio; Malvezzi, Luca; Lorini, Luigi; Othman, Ahmed E; Preda, Lorenzo; Scorsetti, Marta; Bossi, Paolo; Mercante, Giuseppe; Spriano, Giuseppe; Balzarini, Luca; Francone, Marco. - In: JOURNAL OF PERSONALIZED MEDICINE. - ISSN 2075-4426. - 14:4(2024). [10.3390/jpm14040341]

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

Carnicelli, Giorgia;Casiraghi, Elena;De Virgilio, Armando;Farina, Davide;Bossi, Paolo;Francone, Marco
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.
2024
artificial intelligence; diagnostic accuracy; head and neck cancers; multidisciplinary care; survey
01 Pubblicazione su rivista::01a Articolo in rivista
The Use of Artificial Intelligence in Head and Neck Cancers: A Multidisciplinary Survey / Giannitto, Caterina; Carnicelli, Giorgia; Lusi, Stefano; Ammirabile, Angela; Casiraghi, Elena; De Virgilio, Armando; Esposito, Andrea Alessandro; Farina, Davide; Ferreli, Fabio; Franzese, Ciro; Frigerio, Gian Marco; Lo Casto, Antonio; Malvezzi, Luca; Lorini, Luigi; Othman, Ahmed E; Preda, Lorenzo; Scorsetti, Marta; Bossi, Paolo; Mercante, Giuseppe; Spriano, Giuseppe; Balzarini, Luca; Francone, Marco. - In: JOURNAL OF PERSONALIZED MEDICINE. - ISSN 2075-4426. - 14:4(2024). [10.3390/jpm14040341]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1709507
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