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 …

Purpose To optimize artificial intelligence (AI) algorithms to integrate Scheimpflug-based
corneal tomography and biomechanics to enhance ectasia detection. Design Multicenter …

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

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 …

Artificial intelligence (AI) has shown excellent diagnostic performance in detecting various
complex problems related to many areas of healthcare including ophthalmology. AI …

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 …

Artificial neural networks (ANN) are artificial intelligence (AI) techniques used in the
automated recognition and classification of pathological changes from clinical images in …

The last three decades have been a turning point for early glaucoma diagnosis and
monitoring by newly developed imaging techniques. Improvements in imaging of the …

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 …