Patient Perceptions of Artificial Intelligence in Otolaryngology—Head and Neck Surgery: An International Study

The perception of AI use in otolaryngology was influenced by age, gender, level of education, and the use of new technologies in daily life. Further studies promoting the use of AI in Western populations can consider demographics for improving the perception of patients toward AI, and an AI literacy component to determine whether lower trust is due to misunderstanding AI capabilities.

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Publication Details

Journal
Ear Nose & Throat Journal
Published
2025-06-28
DOI
https://doi.org/10.1177/01455613251351774
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.96
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article

Patient Perceptions of Artificial Intelligence in Otolaryngology—Head and Neck Surgery: An International Study

Alexandra Rodriguez, François Simon, Robin Baudouin, Giovanni Cammaroto et al.
3 citations
Ear Nose & Throat Journal
Artificial Intelligence in Healthcare and Education
1.96
article

Patient Perceptions of Artificial Intelligence in Otolaryngology—Head and Neck Surgery: An International Study

Alexandra Rodriguez, François Simon, Robin Baudouin, Giovanni Cammaroto, Florent Carsuzaa, Alberto Maria Saibene, Fernando García‐Curdi, Lara Mejuto-Torreiro, Andrea De Vito, Thomas Radulesco, Giannicola Iannella, Isabelle Gengler, Matthew R. Naunheim, Luigi Angelo Vaira, Antonino Maniaci, Valentin Favier, Sven Saussez, Jerome Rene Lechien, Juan M. Solano, Jesús Herranz-Larrañeta, Anaïs Rameau, Alejandro Klein‐Rodríguez, Maria Rosaria Barillari, Carlos M. Chiesa‐Estomba, Álvaro Sánchez Barrueco, Miguel Mayo‐Yáñez, Giovanni Leonardo Briganti, Giorgia Pugliese, Didier Dequanter, Manon Louvrier, Stéphane Hans, Ignacio Alcalá-Rueda, Justin Michel
article en
3 citations

Abstract

The perception of AI use in otolaryngology was influenced by age, gender, level of education, and the use of new technologies in daily life. Further studies promoting the use of AI in Western populations can consider demographics for improving the perception of patients toward AI, and an AI literacy component to determine whether lower trust is due to misunderstanding AI capabilities.

Ear Nose & Throat Journal
Universidade da Coruña (ES), Massachusetts Eye and Ear Infirmary (US), Hôpital Necker-Enfants Malades (FR), Centre National de la Recherche Scientifique (FR), University of Mons (BE), Harvard University (US), Johns Hopkins University (US), University of Sassari (IT), Université Paris Cité (FR), Cornell University (US), Aix-Marseille Université (FR), Università degli Studi di Enna Kore (IT), Hospital Universitario Virgen Macarena (ES), Centre Hospitalier Universitaire de Montpellier (FR), Assistance Publique – Hôpitaux de Paris (FR), Biogipuzkoa Health Research Institute (ES), Centre Hospitalier Universitaire de Poitiers (FR), Hospital Obispo Polanco (ES), Ospedale San Paolo (IT), Sidac (Italy) (IT), Hospital Universitario Fundación Jiménez Díaz (ES), Complexo Hospitalario Universitario A Coruña (ES), Institut Universitaire des Systèmes Thermiques Industriels (FR), Johns Hopkins Hospital (US), Centre Hospitalier Universitaire de Saint-Pierre (BE), Hospital Universitario San Rafael (ES), Instituto de Investigación Biomédica de A Coruña (ES), University of Naples Federico II (IT), Sapienza University of Rome (IT), Parker Hannifin (United States) (US)
Quality Education
Openalex Percentile: Top 11%
Artificial Intelligence in Healthcare and Education
1.96
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