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http://bura.brunel.ac.uk/handle/2438/33566Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | El-Osta, A | - |
| dc.contributor.author | Kopka, M | - |
| dc.contributor.author | Behura, A | - |
| dc.contributor.author | Altalib, S | - |
| dc.contributor.author | Adam, M | - |
| dc.contributor.author | Alaa, A | - |
| dc.contributor.author | Fogbohun, O | - |
| dc.contributor.author | Malhan, R | - |
| dc.contributor.author | Jayacodi, S | - |
| dc.contributor.author | Spicer, J | - |
| dc.contributor.author | Gordon, D | - |
| dc.contributor.author | Amed, S | - |
| dc.contributor.author | Bura, P | - |
| dc.contributor.author | Shehu, J | - |
| dc.contributor.author | Kyffin, S | - |
| dc.contributor.author | Shinhmar, S | - |
| dc.contributor.author | Zebin, T | - |
| dc.contributor.author | Wu, J | - |
| dc.contributor.author | Tucker, A | - |
| dc.contributor.author | Colecchia, F | - |
| dc.contributor.author | Bondaronek, P | - |
| dc.contributor.author | Chiribiri, A | - |
| dc.contributor.author | Oldershaw, J | - |
| dc.contributor.author | Burgess, L | - |
| dc.contributor.author | Car, J | - |
| dc.contributor.author | Majeed, A | - |
| dc.contributor.author | Neves, AL | - |
| dc.contributor.author | Potts, H | - |
| dc.contributor.author | Spinelli, G | - |
| dc.date.accessioned | 2026-07-05T11:35:31Z | - |
| dc.date.available | 2026-07-05T11:35:31Z | - |
| dc.date.issued | 2026 | - |
| dc.identifier.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) | en-US |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/33566 | - |
| dc.description | ...... | en-US |
| dc.description.abstract | ... | en-US |
| dc.description.sponsorship | ...... | en-US |
| dc.format.extent | pp. 1–73 | - |
| dc.format.medium | Electronic | - |
| dc.language.iso | eng | en-US |
| dc.publisher | PLOS | en-US |
| dc.subject | digital health | en-US |
| dc.subject | patient care | en-US |
| dc.subject | self care | en-US |
| dc.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 | en-US |
| dc.type | Article | en-US |
| dc.relation.isPartOf | PLOS Digital Health | - |
| pubs.publication-status | Accepted | - |
| pubs.volume | 00 | - |
| 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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