OphthBench introduces the first specialized benchmark for evaluating large language models in ophthalmology, enabling rigorous assessment before clinical deployment.

• Creates a standardized testing framework across clinical workflows including diagnosis, treatment, and prognosis
• Specifically designed for Chinese ophthalmology applications, addressing a critical language gap
• Identifies current capabilities and limitations of LLMs in specialized eye care
• Supports safer adoption of AI in clinical ophthalmology practice

This research matters because it establishes quality standards for AI deployment in specialized medical fields, potentially improving patient care while identifying safety concerns before clinical implementation.

OphthBench: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Ophthalmology