Artificial intelligence (AI) is a rapidly advancing area with growing clinical applications in
healthcare. The neonatal intensive care unit (NICU) produces large amounts of …

Purpose To discuss the worldwide applications and potential impact of artificial intelligence
(AI) for the diagnosis, management and analysis of treatment outcomes of common retinal …

Importance Myopic maculopathy (MM) is a major cause of vision impairment globally.
Artificial intelligence (AI) and deep learning (DL) algorithms for detecting MM from fundus …

The diagnosis of retinopathy of prematurity (ROP) is primarily image-based and suitable for
implementation of artificial intelligence (AI) systems. Increasing incidence of ROP, especially …

Recent advances of artificial intelligence (AI) in retinal imaging found its application in two
major categories: discriminative and generative AI. For discriminative tasks, conventional …

Retinal hemorrhage (RH) is a significant clinical finding with various etiologies,
necessitating accurate classification for effective management. This study aims to externally …

Purpose To evaluate whether providing clinicians with an artificial intelligence (AI)-based
vascular severity score (VSS) improves consistency in the diagnosis of plus disease in …

Objectives: This study investigates the feasibility of implementing telescreening for
retinopathy of prematurity (ROP) using the ICON GO® widefield camera operated by a non …

DeepMind scientistsbegan with old-school Atari games. 1 Using deep and reinforcement
learning, they developed an artificial intelligence (AI) program that learned to play Breakout …

The economic and societal costs of vision impairment and eye disease are significant and
13 growing. Retinal images contain a wealth of clinical information and are utilized for …