AI-Driven Diagnostics for Retinal Disorders and Eye Diseases: Transforming Ophthalmology

<p>Artificial Intelligence (AI) has become a transformative force in changing the healthcare system in many ways. Machine<br>learning (ML) and deep learning (DL) are used to analyze medical images like CT scans, MRIs, ultrasounds, and X-rays. Using<br>DL algorithms systems can analyze and detect anomalies such as tumors, lesions other abnormalities at a high accuracy<br>and assist the medical professionals in a better way. AI can assist in automating the diagnosis process by analyzing the medical<br>images and to identify potential issues for review. This paper examines the role of AI in diagnosing retinal disorders and eye<br>diseases. AI technologies, particularly DL, have demonstrated remarkable accuracy and efficiency in detecting conditions like<br>diabetic retinopathy (DR), age-related macular degeneration (AMD), retinopathy of prematurity (ROP), retinal vein occlusion<br>(RVO), hypertensive retinopathy (HR). This paper explores current AI applications, methodologies, challenges, and prospects <br>offering insights into how AI can revolutionize ophthalmic care.</p>