David Ziyou Chen

Benchmarking large language models’ performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard

2023 · 301 Zit. · EBioMedicine

Popular large language model chatbots’ accuracy, comprehensiveness, and self-awareness in answering ocular symptom queries

2023 · 79 Zit. · iScience

Review of emerging trends and projection of future developments in large language models research in ophthalmology

2023 · 25 Zit. · British Journal of Ophthalmology

Ophthalmological Question Answering and Reasoning Using OpenAI o1 vs Other Large Language Models

2025 · 11 Zit. · JAMA Ophthalmology

Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study

2025 · 2 Zit. · ArXiv.org

BEnchmarking LLMs for Ophthalmology (BELO) for Ophthalmological Knowledge and Reasoning

2025 · 1 Zit. · ArXiv.org

Benchmarking Next-Generation Reasoning-Focused Large Language Models in Ophthalmology: A Head-to-Head Evaluation on 5,888 Items

2025 · 0 Zit. · ArXiv.org

Large language model-based scribing tools for ophthalmology: performance and safety evaluation using simulated clinical encounters

2026 · 0 Zit. · Eye

BEnchmarking Large Language Models for Ophthalmology (BELO): An Expert-Curated Data Set and Evaluation Framework for Knowledge and Reasoning

2025 · 0 Zit. · Ophthalmology Science