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 …
corneal thinning with resultant irregular astigmatism and myopia. Its prevalence has been …
[HTML][HTML] Corneal crosslinking: present and future
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 …
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 …
with systemic and orthoptic parameters in patients presenting with ocular surface pain using …
Keratoconus diagnosis: from fundamentals to artificial intelligence: a systematic narrative review
The remarkable recent advances in managing keratoconus, the most common corneal
ectasia, encouraged researchers to conduct further studies on the disease. Despite the …
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
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 …
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 …
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
Background This study proposes a decision support system created in collaboration with
machine learning experts and ophthalmologists for detecting keratoconus (KC) severity. The …
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 …
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 …
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 …
corneal steepening and irregular astigmatism [1, 2]. It is the most common corneal ectasia …