# Capabilities of GPT-4 in ophthalmology: an analysis of model entropy and progress towards human-level medical question answering

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/capabilities-of-gpt-4-in-ophthalmology-an-analysis-of-model-entropy-and-progress/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Fares Antaki,Daniel Milad,Mark A. Chia,Charles‐Édouard Giguère,Samir Touma,Jonathan El‐Khoury,Pearse A. Keane,Pearse A Keane,Renaud Duval |
| Citations | 85 |
| DOI | 10.1136/bjo-2023-324438 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://discovery.ucl.ac.uk/10182077/1/Keane_GPT-4__%20BJO.pdf |
| OpenAlex ID | https://openalex.org/W4388287351 |
| PMID | 37923374 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Mark A. Chia](https://scholariq.org/researchers/mark-a-chia/)

## Paper journal

- [British Journal of Ophthalmology](https://scholariq.org/journals/british-journal-of-ophthalmology/)

## 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/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)

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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.