The Use of Artificial Intelligence in Head and Neck Cancers: A Multidisciplinary Survey
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- Humanitas University, Milan (Italy); IRCCS Humanitas Research Hospital, Milan (Italy)
- University of Milan (Italy); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- ASST Bergamo Ovest, Treviglio (Italy)
- University of Brescia ASST Spedali Civili of Brescia (Italy)
- University Hospital of Palermo (Italy)
- University Medical Center Mainz (Germany)
- University of Pavia (Italy)
- IRCCS Humanitas Research Hospital, Milan (Italy)
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.
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- AC02-05CH11231
- OSTI ID:
- 2470594
- Journal Information:
- Journal of Personalized Medicine, Journal Name: Journal of Personalized Medicine Journal Issue: 4 Vol. 14; ISSN 2075-4426
- Publisher:
- MDPICopyright Statement
- Country of Publication:
- United States
- Language:
- English
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