How do patients perceive the AI-radiologists interaction? Results of a survey on 2119 responders.


Journal

European journal of radiology
ISSN: 1872-7727
Titre abrégé: Eur J Radiol
Pays: Ireland
ID NLM: 8106411

Informations de publication

Date de publication:
Aug 2023
Historique:
received: 13 02 2023
revised: 16 05 2023
accepted: 31 05 2023
medline: 24 7 2023
pubmed: 17 6 2023
entrez: 16 6 2023
Statut: ppublish

Résumé

In this study we investigate how patients perceive the interaction between artificial intelligence (AI) and radiologists by designing a survey. We created a survey focused on the application of Artificial Intelligence in radiology which consisted of 20 questions distributed in three sections:Only completed questionnaires were considered for analysis. 2119 subjects completed the survey. Among them, 1216 respondents were over 60 years old, showing interest in AI even though they were not digital natives. Although >45% of the respondents reported a high level of education, only 3% said they were AI experts. 87% of respondents favored using AI to support diagnosis but would like to be informed. Only 10% would consult another specialist if their doctor used AI support. Most respondents (76%) said they would not feel comfortable if the diagnosis was made by the AI alone, highlighting the importance of the physician's role in the emotional management of the patient. Finally, 36% of respondents were willing to discuss the topic further in a focus group. Patients' perception of the use of AI in radiology was positive, although still strictly linked to the supervision of the radiologist. Respondents showed interest and willingness to learn more about AI in the medical field, confirming how patients' confidence in AI technology and its acceptance is central to its widespread use in clinical practice.

Identifiants

pubmed: 37327548
pii: S0720-048X(23)00231-0
doi: 10.1016/j.ejrad.2023.110917
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110917

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Simona Ibba (S)

Unit of Diagnostic Imaging and Stereotactic Radiosurgery, CDI Centro Diagnostico Italiano S.p.A., Via Simone Saint Bon 20, 20147 Milan, Italy. Electronic address: simona.ibba@cdi.it.

Chiara Tancredi (C)

Suor Orsola Benincasa University, Corso Vittorio Emanuele 292, 80135 Naples, Italy. Electronic address: chiara.tancredi@studenti.unisob.na.it.

Arianna Fantesini (A)

Suor Orsola Benincasa University, Corso Vittorio Emanuele 292, 80135 Naples, Italy; RE:LAB s.r.l., Via Tamburini, 5, 42122 Reggio Emilia, Italy. Electronic address: arianna.fantesini@re-lab.it.

Michaela Cellina (M)

Radiology Department, ASST Fatebenefratelli Sacco, Piazza Principessa Clotilde 3, 20121 Milan, Italy. Electronic address: michaela.cellina@asst-fbf-sacco.it.

Roberta Presta (R)

Suor Orsola Benincasa University, Corso Vittorio Emanuele 292, 80135 Naples, Italy. Electronic address: roberta.presta@docenti.unisob.na.it.

Roberto Montanari (R)

Suor Orsola Benincasa University, Corso Vittorio Emanuele 292, 80135 Naples, Italy; RE:LAB s.r.l., Via Tamburini, 5, 42122 Reggio Emilia, Italy. Electronic address: roberto.montanari@re-lab.it.

Sergio Papa (S)

Unit of Diagnostic Imaging and Stereotactic Radiosurgery, CDI Centro Diagnostico Italiano S.p.A., Via Simone Saint Bon 20, 20147 Milan, Italy. Electronic address: sergio.papa@cdi.it.

Marco Alì (M)

Unit of Diagnostic Imaging and Stereotactic Radiosurgery, CDI Centro Diagnostico Italiano S.p.A., Via Simone Saint Bon 20, 20147 Milan, Italy; Bracco Imaging S.p.A., Via Egidio Folli, 50, 20134 Milan, Italy. Electronic address: marco.ali@cdi.it.

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