Artificial intelligence (AI) has introduced significant changes in ophthalmology. Eye care specialists are exploring the potential of AI to diagnose, treat, and research various eye conditions.
AI has enabled eye specialists to detect various eye conditions in their early stages. Analysis of medical images through optical coherence tomography (OCT) and retinal scans has enabled AI algorithms to discover early signs of various eye diseases, including age-related macular degeneration (AMD), diabetic retinopathy, and glaucoma.
AI has revolutionized ophthalmology education and surgical training. AI-powered simulations enable residents and experienced ophthalmologists to conduct various eye surgical procedures in a controlled environment. These simulations allow surgeons to gain hands-on experience and receive valuable feedback, improving their overall skills and surgical outcomes.
AI algorithms can help eye specialists analyze a patient’s medical history, imaging data, genetic predisposition, and lifestyle factors to recommend the best treatment approach. In addition to boosting treatment outcomes, personalized treatment reduces the risk of side effects.
AI-powered devices can remotely monitor a patient’s eye health and submit data to healthcare providers. Doctors can monitor patients who live in distant locations and initiate proactive interventions from an eye care medical facility.
