Predictors and determinants of public trust in AI and software as a medical device for healthcare in UK: Evidence from the RADIANT Voices Study

Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/33566

Title:	Predictors and determinants of public trust in AI and software as a medical device for healthcare in UK: Evidence from the RADIANT Voices Study
Authors:	El-Osta, A Kopka, M Behura, A Altalib, S Adam, M Alaa, A Fogbohun, O Malhan, R Jayacodi, S Spicer, J Gordon, D Amed, S Bura, P Shehu, J Kyffin, S Shinhmar, S Zebin, T Wu, J Tucker, A Colecchia, F Bondaronek, P Chiribiri, A Oldershaw, J Burgess, L Car, J Majeed, A Neves, AL Potts, H Spinelli, G
Keywords:	digital health;patient care;self care
Issue Date:	2026
Publisher:	PLOS
Citation:	El-Osta, A. et al. (2026) 'Predictors and determinants of public trust in AI and software as a medical device for healthcare in UK: Evidence from the RADIANT Voices Study', PLOS Digital Health, 0 (accepted, in press)
Abstract:	...
Description:	... A preprint version of the article is available online at: https://doi.org/10.21203/rs.3.rs-8759109/v1 . This work is licensed under a CC BY 4.0 License. It has not been certified by peer review.
URI:	https://bura.brunel.ac.uk/handle/2438/33566
Other Identifiers:	ORCiD: Tahmina Zebin https://orcid.org/0000-0003-0437-0570 ORCiD: Allan Tucker https://orcid.org/0000-0001-5105-3506 ORCiD: Federico Colecchia https://orcid.org/0000-0001-7447-7117 ORCiD: Gabriella Spinelli https://orcid.org/0000-0003-1717-7868
Appears in Collections:	Department of Computer Science Embargoed Research Papers Brunel Design School Embargoed Research Papers

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