Researchers introduce a new dataset (MM-Retinal-Reason) and model (OphthaReason) for ophthalmic multimodal reasoning, which can integrate heterogeneous clinical information with medical imaging data for complex reasoning tasks. The model uses reinforcement learning and uncertainty-aware dynamic thinking to achieve state-of-the-art performance on basic and complex reasoning tasks.