# Evaluating the OpenAI’s GPT-3.5 Turbo’s performance in extracting information from scientific articles on diabetic retinopathy

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/evaluating-the-openai-s-gpt-3-5-turbo-s-performance-in-extracting-information/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Celeste Ci Ying Gue,Noorul Dharajath Abdul Rahim,William Rojas‐Carabali,Rupesh Agrawal,Palvannan Rk,John Abisheganaden,Wan Fen Yip |
| Citations | 29 |
| DOI | 10.1186/s13643-024-02523-2 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Health Professions |
| Open Access | true |
| OA Status | gold |
| OA URL | https://systematicreviewsjournal.biomedcentral.com/counter/pdf/10.1186/s13643-024-02523-2 |
| OpenAlex ID | https://openalex.org/W4396959345 |
| PMID | 38755704 |
| Type | article |
| Year | 2024 |

## Paper authors

- [William Rojas‐Carabali](https://scholariq.org/researchers/william-rojas-carabali/)

## Paper journal

- [Systematic Reviews](https://scholariq.org/journals/systematic-reviews/)

## Paper primary topic

- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)

## Paper topics

- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [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.