# Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multimodal-deep-learning-of-fundus-abnormalities-and-traditional-risk-factors/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yeong Chan Lee,Jiho Cha,Injeong Shim,Woong‐Yang Park,Se Woong Kang,Dong Hui Lim,Hong‐Hee Won |
| Citations | 101 |
| DOI | 10.1038/s41746-023-00748-4 |
| Fields | Health Professions,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41746-023-00748-4.pdf |
| OpenAlex ID | https://openalex.org/W4319035125 |
| PMID | 36732671 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Dong Hui Lim](https://scholariq.org/researchers/dong-hui-lim/)

## Paper journal

- [npj Digital Medicine](https://scholariq.org/journals/npj-digital-medicine/)

## Paper primary topic

- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)

## Paper topics

- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [Acute Ischemic Stroke Management](https://scholariq.org/topics/acute-ischemic-stroke-management/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

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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.