Artificial intelligence (AI) has great potential to transform healthcare by enhancing the
workflow and productivity of clinicians, enabling existing staff to serve more patients …

Recent advancements in artificial intelligence (AI) herald transformative potentials for
reshaping glaucoma clinical management, improving screening efficacy, sharpening …

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 …

Primary angle closure glaucoma is a visually debilitating disease that is under-detected
worldwide. Many of the challenges in managing primary angle closure disease (PACD) are …

Diagnosis and detection of progression of glaucoma remains challenging. Artificial
intelligence–based tools have the potential to improve and standardize the assessment of …

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 …

Background Primary angle closure glaucoma (PACG) is still one of the leading causes of
irreversible blindness, with a trend towards an increase in the number of patients to 32.04 …

Background Deep learning has been widely used for glaucoma diagnosis. However, there is
no clinically validated algorithm for glaucoma incidence and progression prediction. This …

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

With advancements in the implementation of artificial intelligence (AI) in different
ophthalmology disciplines, it continues to have a significant impact on glaucoma diagnosis …