# The performance of artificial intelligence-based large language models on ophthalmology-related questions in Swedish proficiency test for medicine: ChatGPT-4 omni vs Gemini 1.5 Pro

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-performance-of-artificial-intelligence-based-large-language-models-on/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mehmet Cem Sabaner,Arzu Seyhan Karatepe,Kemal Mert Mutibayraktaroglu,Zübeyir Yozgat,Oliver Niels Klefter,Yousif Subhi |
| Citations | 19 |
| DOI | 10.1016/j.ajoint.2024.100070 |
| Fields | Engineering,Medicine |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.1016/j.ajoint.2024.100070 |
| OpenAlex ID | https://openalex.org/W4402837882 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Oliver Niels Klefter](https://scholariq.org/researchers/oliver-niels-klefter/)

## Paper journal

- [AJO International](https://scholariq.org/journals/ajo-international/)

## Paper primary topic

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

## Paper topics

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Medical Imaging and Analysis](https://scholariq.org/topics/medical-imaging-and-analysis/)
- [Clinical Reasoning and Diagnostic Skills](https://scholariq.org/topics/clinical-reasoning-and-diagnostic-skills/)

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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.