# Use of AI in Cardiac CT and MRI: A Scientific Statement from the ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/use-of-ai-in-cardiac-ct-and-mri-a-scientific-statement-from-the-escr-eusomii/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Domenico Mastrodicasa,Marly van Assen,Merel Huisman,Tim Leiner,Eric E. Williamson,Edward Nicol,Bradley D. Allen,Luca Saba,Rozemarijn Vliegenthart,Kate Hanneman |
| Citations | 67 |
| DOI | 10.1148/radiol.240516 |
| Fields | Engineering,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://pubs.rsna.org/doi/pdf/10.1148/radiol.240516 |
| OpenAlex ID | https://openalex.org/W4406904445 |
| PMID | 39873607 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Bradley D. Allen](https://scholariq.org/researchers/bradley-d-allen/)

## Paper primary topic

- [Advanced X-ray and CT Imaging](https://scholariq.org/topics/advanced-x-ray-and-ct-imaging/)

## Paper topics

- [Advanced X-ray and CT Imaging](https://scholariq.org/topics/advanced-x-ray-and-ct-imaging/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Radiation Dose and Imaging](https://scholariq.org/topics/radiation-dose-and-imaging/)

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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.