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How do patients perceive the AI-radiologists interaction? Results of a survey on 2119 responders.
- Source :
-
European journal of radiology [Eur J Radiol] 2023 Aug; Vol. 165, pp. 110917. Date of Electronic Publication: 2023 Jun 08. - Publication Year :
- 2023
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Abstract
- Purpose: In this study we investigate how patients perceive the interaction between artificial intelligence (AI) and radiologists by designing a survey.<br />Method: 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.<br />Results: 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.<br />Conclusion: 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.<br />Competing Interests: 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.<br /> (Copyright © 2023 Elsevier B.V. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1872-7727
- Volume :
- 165
- Database :
- MEDLINE
- Journal :
- European journal of radiology
- Publication Type :
- Academic Journal
- Accession number :
- 37327548
- Full Text :
- https://doi.org/10.1016/j.ejrad.2023.110917