Several semantic segmentation models have been proposed in recent years to screen for
Glaucoma in retinal fundus images, but the lack of comprehensive benchmark datasets …

Artificial intelligence in cornea, refractive, and cataract... : Current Opinion in Ophthalmology
Artificial intelligence in cornea, refractive, and cataract surgery : Current Opinion in …

In parallel with the development of various emerging fields such as computer vision and
related technologies, eg, iris identification and glaucoma detection, criminals are developing …

The use of artificial intelligence (AI) in dermatology is an emerging area of interest with
several applications highlighted in the special topic, including the differentiation of benign …

Inherited retinal diseases cause severe visual deficits in children. They are classified in
outer and inner retina diseases, and often cause blindness in childhood. The diagnosis for …

This study aimed to assess the utility of optic nerve head (onh) en-face images, captured
with scanning laser ophthalmoscopy (slo) during standard optical coherence tomography …

This systematic review was performed to identify the specifics of an optimal diabetic
retinopathy deep learning algorithm, by identifying the best exemplar research studies of the …

While some physicians view artificial intelligence (AI) as a threat to their careers, imagining a
machine taking over for a human being, large tech companies such as Google, Microsoft …

The automatic diagnosis of various retinal diseases based on fundus images is important in
supporting clinical decision‐making. Convolutional neural networks (CNNs) have achieved …

This work aims to use the chatGPT algorithm to analyze and summarize cases in medical
literature of the Song Dynasty, understand the clinical practice experience of ancient …