Patient Perspectives and Priorities Regarding Artificial Intelligence in Radiology: Opportunities for Patient-Centered Radiology
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Previous empirical studies on patients' acceptance or trust in AI are somewhat conflicting.
“The results of previous empirical studies on patients’ acceptance or trust in AI are somewhat conflicting. Some studies have shown that participants are more accepting of AI if it is proven to be more accurate than providers26,29 or if the use of AI fits societal and cultural norms.35,36 However, other studies have found that trust in AI did not increase when participants were informed that the AI”
From Patient perspectives on informed consent for medical AI: A web-based experiment (2024) · cites this paper as [35]
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Artificial Intelligence in Low- and Middle-Income Countries: Innovating Global Health Radiology
Mollura, D. J., Culp, M. P., Pollack, E., Battino, G., Scheel, J. R., Mango, V. L., Elahi, A., Schweitzer, A., & Dako, F. (2020) · Radiology · doi:10.1148/radiol.2020201434 · Cited by 228 · see citing works
Patient perspectives on informed consent for medical AI: A web-based experiment
Park, H. J. (2024) · DIGITAL HEALTH · doi:10.1177/20552076241247938 · Cited by 95 · see citing works
Artificial intelligence for diagnostics in radiology practice: a rapid systematic scoping review
Lawrence, R., Dodsworth, E., Massou, E., Sherlaw-Johnson, C., Ramsay, A. I. G., Walton, H., O'Regan, T., Gleeson, F., Crellin, N., Herbert, K., et al. (2025) · eClinicalMedicine · doi:10.1016/j.eclinm.2025.103228 · Cited by 69 · see citing works
- Authors
- Adams, S. J., Tang, R., & Babyn, P.
- Affiliations
- University of Saskatchewan (CA)
- Saskatchewan Health Authority (CA)
- Corresponding author
- Adams, Scott J.
- Venue
- Journal of the American College of Radiology
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 17
- Issue
- 8
- Pages
- 1034-1036
- ISSN
- 1546-1440 (ISSN-L)
- OpenAlex
- W3006651584
- Cited by
- 59
- References
- 8
- Citations by year
- 2026: 10 · 2025: 16 · 2024: 13 · 2023: 10 · 2022: 3 · 2021: 2 · 2020: 5
- FWCI
- 1.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the American College of Radiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Saskatchewan
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiology practices and education
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
- Keywords
- artificial intelligence in radiology, patient perspectives, patient-centered care, patient priorities, radiology workflow, automated reporting, lesion detection, lesion characterization, patient scheduling
- MeSH terms
- Artificial Intelligence, Humans, Radiography, Radiology, Patient-Centered Care
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