Year: 2024
Type: article
Abstract: Artificial Intelligence (AI) has become a transformative force in changing the healthcare system in many ways.Machine learning (ML) and deep learning (DL) are used to analyze the medical images like CT scans, MRIs, ultrasounds, ad X-rays.Using DL algorithms systems can analyze and detect anomalies such as tumors, lesions and other abnormalities at a high accuracy and assists the medical professionals in a better way.AI can assist in automating the diagnosis process by analyzing the medical images and identify potential issues for review.This paper examines the role of AI in diagnosing retinal disorders and eye diseases.AI technologies, particularly DL, have demonstrated remarkable accuracy and efficiency in detecting conditions like diabetic retinopathy (DR), age-related macular degeneration (AMD), retinopathy of prematurity (ROP), retinal vein occlusion (RVO), hypertensive retinopathy (HR).This paper explores current AI applications, methodologies, challenges and prospects, offering insights into how AI can revolutionize ophthalmic care.
Author: Kiran Veernapu
Language: English
Topic: Retinal Imaging and Analysis
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4407055484