The integration of Artificial Intelligence (AI) into ophthalmology marks a significant paradigm shift in clinical practice. Recent research focuses on utilizing machine learning and deep neural networks to analyze vast amounts of medical data, such as digital retinal images and Optical Coherence Tomography (OCT) scans. These tools enable rapid and accurate diagnoses of prevalent conditions like diabetic retinopathy, glaucoma, and age-related macular degeneration (AMD). Rather than relying solely on a clinician's visual assessment, AI provides a powerful辅助系统 (assistive system) that enhances a physician's ability to detect subtle early signs of disease, allowing for timely intervention at a critical stage. Furthermore, AI contributes to personalized treatment plans and the monitoring of patient response, which significantly improves treatment outcomes.