Keratoconus is the most common corneal ectatic disorder. It is characterized by progressive
corneal thinning with resultant irregular astigmatism and myopia. Its prevalence has been …

Corneal diseases represent a growing public health burden, especially in resource-limited
settings lacking access to specialized eye care. Artificial intelligence (AI) offers promising …

Purpose To characterize focal biomechanical alterations in subclinical keratoconus (SKC)
using motion-tracking (MT) Brillouin microscopy and evaluate the ability of MT Brillouin …

Different diagnostic approaches for ectatic corneal diseases (ECD) include screening,
diagnosis confirmation, classification of the ECD type, severity staging, prognostic …

Purpose To develop and test a parameter for early keratoconus screening by quantifying the
localized epithelial thickness differences in keratoconic eyes. Methods The cross-sectional …

Purpose This review was designed to compare different corneal imaging modalities using
artificial intelligence (AI) for the diagnosis of keratoconus (KCN), subclinical KCN (SKCN) …

Artificial intelligence (AI) holds immense promise for transforming ophthalmic care through
automated screening, precision diagnostics, and optimized treatment planning. This paper …

The remarkable recent advances in managing keratoconus, the most common corneal
ectasia, encouraged researchers to conduct further studies on the disease. Despite the …

Background Refractive surgery research aims to optimally precategorize patients by their
suitability for various types of surgery. Recent advances have led to the development of …

Purpose: This article introduces the Pentacam® Cornea OCT (optical coherence
tomography). This advanced corneal imaging system combines rotating ultra-high-resolution …