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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until publication | 1.91 MB | Adobe PDF | View/Open |
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