Artificial intelligence is a multidisciplinary and collaborative science, the ability of deep
learning for image feature extraction and processing gives it a unique advantage in dealing …

The field of ophthalmic imaging has grown substantially over the last years. Massive
improvements in image processing and computer hardware have allowed the emergence of …

Purpose To assess the prevalence and risk factors of blindness among patients newly
diagnosed with primary angle closure glaucoma (PACG) in the United States. Design …

Artificial intelligence (AI) technology is promising in the field of healthcare. With the
developments of big data and image-based analysis, AI shows potential value in …

Aim To perform an independent validation of deep learning (DL) algorithms for automated
scleral spur detection and measurement of scleral spur-based biometric parameters in …

Glaucoma, the leading cause of irreversible blindness worldwide, comprises a group of
progressive optic neuropathies requiring early detection and lifelong treatment to preserve …

Glaucoma is a leading cause of progressive blindness and visual impairment worldwide.
Microstructural evidence of glaucomatous damage to the optic nerve head and associated …

The application of artificial intelligence (AI) in ophthalmology has been increasingly
explored in the past decade. Numerous studies have shown promising results supporting …

Implementation of anterior segment ophthalmic telemedicine : Current Opinion in
Ophthalmology Implementation of anterior segment ophthalmic telemedicine : Current …

The integration of artificial intelligence (AI) and big data in anterior segment (AS) imaging
represents a transformative approach to glaucoma diagnosis and management. This article …