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

Fundus2Globe: Generative AI-Driven 3D Digital Twins for Personalized Myopia Management.

Noninvasive early prediction of preeclampsia in pregnancy using retinal vascular features.

Addressing underestimation and explanation of retinal fundus photo-based cardiovascular disease risk score: Algorithm development and validation.

Economic evaluation for medical artificial intelligence: accuracy vs. cost-effectiveness in a diabetic retinopathy screening case.

FFA-GPT: an automated pipeline for fundus fluorescein angiography interpretation and question-answer.

Translating color fundus photography to indocyanine green angiography using deep-learning for age-related macular degeneration screening.

FFA Sora, video generation as fundus fluorescein angiography simulator.

OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis.

Visual Question Answering in Ophthalmology: A Progressive and Practical Perspective.

Fundus to Fluorescein Angiography Video Generation as a Retinal Generative Foundation Model.

EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysis.

UWF-RI2FA: Generating Multi-frame Ultrawide-field Fluorescein Angiography from Ultrawide-field Retinal Imaging Improves Diabetic Retinopathy Stratification.

Choroidal Vessel Segmentation on Indocyanine Green Angiography Images via Human-in-the-Loop Labeling.

EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging.

Evaluating large language models in medical applications: a survey.

EyeGPT: Ophthalmic Assistant with Large Language Models.

Medical visual question answering: A survey.

EBD: an eye biomarker database.

Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation.