# Artificial intelligence for diagnosing exudative age-related macular degeneration

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-for-diagnosing-exudative-age-related-macular/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chaerim Kang,Jui‐En Lo,Helen Zhang,Sueko M Ng,John C. Lin,Ingrid U. Scott,Jayashree Kalpathy–Cramer,Su‐Hsun Liu,Paul B. Greenberg |
| Citations | 9 |
| DOI | 10.1002/14651858.cd015522.pub2 |
| Fields | Health Professions,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://pmc.ncbi.nlm.nih.gov/articles/PMC11483348/pdf/CD015522.pdf |
| OpenAlex ID | https://openalex.org/W4403491747 |
| PMID | 39417312 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Chaerim Kang](https://scholariq.org/researchers/chaerim-kang/)

## Paper journal

- [Cochrane Database of Systematic Reviews](https://scholariq.org/journals/cochrane-database-of-systematic-reviews/)

## 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/)
- [Retinal Diseases and Treatments](https://scholariq.org/topics/retinal-diseases-and-treatments/)
- [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.