# Artificial intelligence in glaucoma

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-in-glaucoma/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chengjie Zheng,Thomas V. Johnson,Aakriti Garg Shukla,Michael V. Boland |
| Citations | 104 |
| DOI | 10.1097/icu.0000000000000552 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2903730647 |
| PMID | 30562242 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Aakriti Garg Shukla](https://scholariq.org/researchers/aakriti-garg-shukla/)

## 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/)
- [Glaucoma and retinal disorders](https://scholariq.org/topics/glaucoma-and-retinal-disorders/)
- [Gaze Tracking and Assistive Technology](https://scholariq.org/topics/gaze-tracking-and-assistive-technology/)

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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.