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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.
Afiliação
  • Giannitto C; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
  • Carnicelli G; Department of Diagnostic and Interventional Radiology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy.
  • Lusi S; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
  • Ammirabile A; Department of Diagnostic and Interventional Radiology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy.
  • Casiraghi E; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
  • De Virgilio A; Department of Diagnostic and Interventional Radiology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy.
  • Esposito AA; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
  • Farina D; Department of Diagnostic and Interventional Radiology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy.
  • Ferreli F; Department of Computer Science "Giovanni degli Antoni", University of Milan, Via Celoria 18, 20133 Milan, Italy.
  • Franzese C; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, 717 Potter Street, Berkeley, CA 94710, USA.
  • Frigerio GM; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
  • Lo Casto A; Otorhinolaryngology Unit, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy.
  • Malvezzi L; Department of Diagnostic Radiology, ASST Bergamo Ovest, 24047 Treviglio, Italy.
  • Lorini L; Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia ASST Spedali Civili of Brescia, 25123 Brescia, Italy.
  • Othman AE; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
  • Preda L; Otorhinolaryngology Unit, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy.
  • Scorsetti M; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
  • Bossi P; Department of Radiotherapy and Radiosurgery IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy.
  • Mercante G; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
  • Spriano G; Department of Diagnostic and Interventional Radiology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy.
  • Balzarini L; Department of Biomedicine, Neuroscience and Advanced Diagnostics (BIND), University Hospital of Palermo, 90127 Palermo, Italy.
  • Francone M; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
J Pers Med ; 14(4)2024 Mar 25.
Article em En | MEDLINE | ID: mdl-38672968
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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article