Please use this identifier to cite or link to this item: http://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: ......
URI: https://bura.brunel.ac.uk/handle/2438/33566
Appears in Collections:Department of Computer Science Embargoed Research Papers
Brunel Design School Embargoed Research Papers

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