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20242026
most citedEyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysis

9 citations · 31 across the 12 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.HC2025

EyeAgent: An Agentic AI System for Multimodal Clinical Decision Support in Ophthalmology

Danli Shi, Xiaolan Chen, Bingjie Yan +24

Artificial intelligence has shown promise in medical imaging, yet most existing systems lack flexibility, interpretability, and adaptability - challenges especially pronounced in o…

cs.CV2025

APTOS-2024 challenge report: Generation of synthetic 3D OCT images from fundus photographs

Bowen Liu, Weiyi Zhang, Peranut Chotcomwongse +23

Optical Coherence Tomography (OCT) provides high-resolution, 3D, and non-invasive visualization of retinal layers in vivo, serving as a critical tool for lesion localization and di…

cs.HC2025

ChatMyopia: An AI Agent for Pre-consultation Education in Primary Eye Care Settings

Yue Wu, Xiaolan Chen, Weiyi Zhang +7

Large language models (LLMs) show promise for tailored healthcare communication but face challenges in interpretability and multi-task integration particularly for domain-specific…

cs.CV2025

Benchmarking Large Multimodal Models for Ophthalmic Visual Question Answering with OphthalWeChat

Pusheng Xu, Xia Gong, Xiaolan Chen +7

Purpose: To develop a bilingual multimodal visual question answering (VQA) benchmark for evaluating VLMs in ophthalmology. Methods: Ophthalmic image posts and associated captions p…

cs.CL2025

DeepSeek-R1 Outperforms Gemini 2.0 Pro, OpenAI o1, and o3-mini in Bilingual Complex Ophthalmology Reasoning

Pusheng Xu, Yue Wu, Kai Jin +3

Purpose: To evaluate the accuracy and reasoning ability of DeepSeek-R1 and three other recently released large language models (LLMs) in bilingual complex ophthalmology cases. Meth…