Optical coherence tomography (OCT) provides non-contact, rapid in vivo imaging of ocular
structures, and has become a key part of evaluating the anterior segment of the eye. Over …

With the advancement of computational power, refinement of learning algorithms and
architectures, and availability of big data, artificial intelligence (AI) technology, particularly …

Primary angle closure is appositional or synechial closure of the anterior chamber angle.
Experts now recognize multiple mechanisms for PAC. Pupillary block is a key element in the …

Purpose Anterior segment optical coherence tomography (AS-OCT) provides an objective
imaging modality for visually identifying anterior segment structures. An automated detection …

Purpose To develop and test deep learning classifiers that detect gonioscopic angle closure
and primary angle closure disease (PACD) based on fully automated analysis of anterior …

Purpose To assess baseline ocular biometric risk factors for progression from primary angle
closure suspect (PACS) to primary angle closure (PAC) or acute angle closure (AAC) …

Medical health systems have been concentrating on artificial intelligence techniques for
speedy diagnosis. However, the recording of health data in a standard form still requires …

Angle closure glaucoma (ACG) is a more aggressive disease than open-angle glaucoma,
where the abnormal anatomical structures of the anterior chamber angle (ACA) may cause …

Angle-closure glaucoma is a major cause of irreversible visual impairment and can be
identified by measuring the anterior chamber angle (ACA) of the eye. The ACA can be …

Irreversible visual impairment is often caused by primary angle-closure glaucoma, which
could be detected via anterior segment optical coherence tomography (AS-OCT). In this …