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https://repository.monashhealth.org/monashhealthjspui/handle/1/58149Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Gutowski A. | - |
| dc.contributor.author | Carrion D. | - |
| dc.contributor.author | Badawy M. | - |
| dc.date.accessioned | 2026-04-27T03:26:48Z | - |
| dc.date.available | 2026-04-27T03:26:48Z | - |
| dc.date.copyright | 2026 | - |
| dc.date.issued | 2026-04-27 | en |
| dc.identifier.uri | https://repository.monashhealth.org/monashhealthjspui/handle/1/58149 | - |
| dc.description.abstract | Large language models (LLMs) are becoming increasingly utilised in healthcare, especially to generate patient information. They offer a potential opportunity to generate accessible, patient-centred information on radiation risks. However, no study had previously evaluated whether LLMs could effectively communicate these risks to consumers in radiology contexts — representing a clear gap in supporting informed consent and meaningful consumer participation in care decisions. | - |
| dc.subject.mesh | health communication | - |
| dc.title | Talking risk: how well do LLMs commmunciation radiation exposure | - |
| dc.type | Poster | - |
| dc.identifier.affiliation | Radiology | - |
| dc.description.conferencename | Monash Health Consumer Participation Poster Competition | - |
| item.openairetype | Poster | - |
| item.fulltext | With Fulltext | - |
| item.cerifentitytype | Publications | - |
| item.grantfulltext | open | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| crisitem.author.dept | Radiology | - |
| Appears in Collections: | Consumer Participation Poster Competition | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 19. Talking Risk LLM communication radiation exposure.pdf | 704.87 kB | Adobe PDF | ![]() View/Open |
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