Artificial intelligence (AI) has become an important technology in ophthalmology and optometry. It helps analyze eye images and detect early signs of certain eye diseases, improving diagnostic support and the efficiency of eye examinations. Main Applications AI is used to detect diabetic retinopathy and support the assessment of glaucoma, age-related macular degeneration, and keratoconus. It can also analyze fundus photographs and optical coherence tomography (OCT) images. Benefits AI can accelerate medical image analysis, support early disease detection, improve patient monitoring, and expand access to eye screening in areas with limited healthcare resources. Challenges Despite its benefits, AI performance may be affected by image quality and the data used to train the system. Patient privacy and clinical validation are also essential. Therefore, AI should support rather than replace professional eye examinations. Conclusion Artificial intelligence represents an important advancement in optometry. By supporting early diagnosis and improving examination efficiency, it may contribute to better eye care. Its successful use depends on combining modern technology with professional clinical expertise. Keywords: Artificial Intelligence, Optometry, Eye Diseases, Retina, Optical Coherence Tomography. University of Al-Mustaqbal – The First and Leading Private University