# Navigating the ethical landscape of artificial intelligence in radiography: a cross-sectional study of radiographers’ perspectives

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/navigating-the-ethical-landscape-of-artificial-intelligence-in-radiography-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Faten Mane Aldhafeeri |
| Citations | 25 |
| DOI | 10.1186/s12910-024-01052-w |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://bmcmedethics.biomedcentral.com/counter/pdf/10.1186/s12910-024-01052-w |
| OpenAlex ID | https://openalex.org/W4396831803 |
| PMID | 38734602 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Faten Mane Aldhafeeri](https://scholariq.org/researchers/faten-mane-aldhafeeri/)

## Paper journal

- [BMC Medical Ethics](https://scholariq.org/journals/bmc-medical-ethics/)

## Paper primary topic

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

## Paper topics

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Radiology practices and education](https://scholariq.org/topics/radiology-practices-and-education/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.