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

Author:

Giannitto Caterina12ORCID,Carnicelli Giorgia12ORCID,Lusi Stefano12ORCID,Ammirabile Angela12ORCID,Casiraghi Elena34ORCID,De Virgilio Armando15,Esposito Andrea Alessandro6,Farina Davide7ORCID,Ferreli Fabio15ORCID,Franzese Ciro18ORCID,Frigerio Gian Marco12,Lo Casto Antonio9,Malvezzi Luca15ORCID,Lorini Luigi110,Othman Ahmed E.11,Preda Lorenzo12ORCID,Scorsetti Marta18,Bossi Paolo15,Mercante Giuseppe15ORCID,Spriano Giuseppe15,Balzarini Luca2,Francone Marco12

Affiliation:

1. Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy

2. Department of Diagnostic and Interventional Radiology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy

3. Department of Computer Science “Giovanni degli Antoni”, University of Milan, Via Celoria 18, 20133 Milan, Italy

4. Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, 717 Potter Street, Berkeley, CA 94710, USA

5. Otorhinolaryngology Unit, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy

6. Department of Diagnostic Radiology, ASST Bergamo Ovest, 24047 Treviglio, Italy

7. Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia ASST Spedali Civili of Brescia, 25123 Brescia, Italy

8. Department of Radiotherapy and Radiosurgery IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy

9. Department of Biomedicine, Neuroscience and Advanced Diagnostics (BIND), University Hospital of Palermo, 90127 Palermo, Italy

10. Medical Oncology and Hematology Unit IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy

11. Department of Neuroradiology, University Medical Center Mainz, 55131 Mainz, Germany

12. Radiology Unit, Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy

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. 

Publisher

MDPI AG

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