Renaud Duval

Evaluating the Performance of ChatGPT in Ophthalmology

2023 · 481 Zit. · Ophthalmology Science

Evaluating the Performance of ChatGPT in Ophthalmology: An Analysis of its Successes and Shortcomings

2023 · 103 Zit. · medRxiv

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

2023 · 83 Zit. · British Journal of Ophthalmology

Assessing the medical reasoning skills of GPT-4 in complex ophthalmology cases

2024 · 49 Zit. · British Journal of Ophthalmology

Performance of DeepSeek-R1 in Ophthalmology: An Evaluation of Clinical Decision-Making and Cost-Effectiveness

2025 · 16 Zit. · medRxiv

Performance of DeepSeek-R1 in ophthalmology: an evaluation of clinical decision-making and cost-effectiveness

2025 · 15 Zit. · British Journal of Ophthalmology

Multimodal Performance of GPT-4 in Complex Ophthalmology Cases

2025 · 11 Zit. · Journal of Personalized Medicine

Performance of ChatGPT in French language analysis of multimodal retinal cases

2024 · 7 Zit. · Journal Français d Ophtalmologie

DeepSeek-R1 vs OpenAI o1 for Ophthalmic Diagnoses and Management Plans

2025 · 4 Zit. · JAMA Ophthalmology

Performance of GPT-5 Frontier Models in Ophthalmology Question Answering

2025 · 1 Zit. · Ophthalmology Science

Deliberative multi-agent large language models improve clinical reasoning in ophthalmology

2026 · 0 Zit. · arXiv (Cornell University)

The involvement of clinicians in the most highly cited publications on artificial intelligence in ophthalmology indexed journals

2024 · 0 Zit. · AJO International

Deliberative multi-agent large language models improve clinical reasoning in ophthalmology

2026 · 0 Zit. · arXiv (Cornell University)