# Exploring diabetes through the lens of AI and computer vision: Methods and future prospects

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/exploring-diabetes-through-the-lens-of-ai-and-computer-vision-methods-and-future/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ramesh Chundi,G. Sasikala,Praveen Kumar Basivi,Anitha Tippana,Vishwanath R Hulipalled,N. Prabakaran,J. B. Simha,Chang Woo Kim,Vijay Kakani,Visweswara Rao Pasupuleti |
| Citations | 4 |
| DOI | 10.1016/j.compbiomed.2024.109537 |
| Fields | Health Professions,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4405312623 |
| PMID | 39672014 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Ramesh Chundi](https://scholariq.org/researchers/ramesh-chundi/)

## Paper primary topic

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

## Paper topics

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)

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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.