Management of keratoconus: an updated review

R Deshmukh, ZZ Ong, R Rampat… - Frontiers in …, 2023 - frontiersin.org
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 …

[HTML][HTML] Corneal crosslinking: present and future

L Angelo, AG Boptom, C McGhee, M Ziaei - Asia-Pacific Journal of …, 2022 - Elsevier
Keratoconus is a progressive corneal thinning disorder that can lead to vision loss. In the
last 2 decades, corneal crosslinking (CXL) has emerged as an effective method to halt the …

A novel combination of corneal confocal microscopy, clinical features and artificial intelligence for evaluation of ocular surface pain

G Kundu, R Shetty, S D'Souza, P Khamar… - PLoS …, 2022 - journals.plos.org
Objectives To analyse various corneal nerve parameters using confocal microscopy along
with systemic and orthoptic parameters in patients presenting with ocular surface pain using …

Keratoconus diagnosis: from fundamentals to artificial intelligence: a systematic narrative review

S Niazi, M Jiménez-García, O Findl, Z Gatzioufas… - Diagnostics, 2023 - mdpi.com
The remarkable recent advances in managing keratoconus, the most common corneal
ectasia, encouraged researchers to conduct further studies on the disease. Despite the …

Automatic detection of keratoconus on Pentacam images using feature selection based on deep learning

M Fırat, C Çankaya, A Çınar… - International Journal of …, 2022 - Wiley Online Library
Today, corneal refraction, height, and thickness data, which are required in the diagnosis of
keratoconus, can be obtained with corneal tomography devices. Pentacam four map display …

Potential applications of artificial intelligence in image analysis in cornea diseases: a review

KY Tey, EZK Cheong, M Ang - Eye and Vision, 2024 - Springer
Artificial intelligence (AI) is an emerging field which could make an intelligent healthcare
model a reality and has been garnering traction in the field of medicine, with promising …

Smart decision support system for keratoconus severity staging using corneal curvature and thinnest pachymetry indices

ZJ Muhsin, R Qahwaji, M AlShawabkeh, SA AlRyalat… - Eye and Vision, 2024 - Springer
Background This study proposes a decision support system created in collaboration with
machine learning experts and ophthalmologists for detecting keratoconus (KC) severity. The …

Artificial intelligence–based stratification of demographic, ocular surface high-risk factors in progression of keratoconus

G Kundu, N Shetty, R Shetty, P Khamar… - Indian Journal of …, 2023 - journals.lww.com
Purpose: The purpose of this study was to identify and analyze the clinical and ocular
surface risk factors influencing the progression of keratoconus (KC) using an artificial …

Keratoconus classifier for smartphone-based corneal topographer

S Gairola, P Joshi, A Balasubramaniam… - 2022 44th Annual …, 2022 - ieeexplore.ieee.org
Keratoconus is a severe eye disease that leads to deformation of the cornea. It impacts
people aged 10–25 years and is the leading cause of blindness in that demography …

Cochrane corner: artificial intelligence for keratoconus

EWW Tiong, SH Liu, DSJ Ting - Eye, 2024 - nature.com
Keratoconus is a bilateral, progressive and asymmetrical disease which causes cone-like
corneal steepening and irregular astigmatism [1, 2]. It is the most common corneal ectasia …