Results 71 to 80 of about 1,594 (192)

The Use of Deep Learning in Distinguishing Chalazion and Eyelid Mass

Journal of Ophthalmology, Volume 2026, Issue 1, 2026.
Purpose Our study investigated the ability of artificial intelligence to differentiate eyelid lesions to support its potential use as a tool to better inform referrals to oculoplastic surgery specialists by other healthcare providers. Specifically, our study tested artificial intelligence’s ability to distinguish benign chalazia from alternative eyelid
Anfei Li, Gabriella Schmuter, Shehroz Rana, Sayyada Hyder, Pratik Patel, Amy Hembree, Amylisa Philips, Simone Prather, Mark Curato, Kira Segal, Kyle J. Godfrey, Gary Lelli, Deepali   +12 more
wiley   +1 more source

Enhancing Meibography Image Analysis Through Artificial Intelligence-Driven Quantification and Standardization for Dry Eye Research. [PDF]

PURPOSE: This study enhances Meibomian gland (MG) infrared image analysis in dry eye (DE) research through artificial intelligence (AI). It is comprised of two main stages: automated eyelid detection and tarsal plate segmentation to standardize ...
Lin, Meng, Graham, Andrew, Yu, Stella, Yeh, Chun-Hsiao   +3 more
core   +1 more source

Longitudinal Analysis of Infrared Meibography in Patients Undergoing Hematopoietic Stem Cell Transplantation [PDF]

, 2020
PURPOSE: To evaluate meibomian gland (MG) changes in patients undergoing hematopoietic stem cell transplantation (HSCT) by infrared meibography and to further investigate possible correlations with hematological characteristics.
Pellegrini M, Scorcia V., Bernabei F., Sessa M., Moscardelli F., Bonifazi F., Arpinati M, Pellegrini M., Bonifazi F, Giannaccare G, Versura P., Sessa M, Bernabei F, Arpinati M., Moscardelli F, Versura P, Scorcia V, Giannaccare G.   +17 more
core   +1 more source

Investigation of ocular surface parameters in dogs with different cephalic conformations using veterinary ocular surface analyzer (OSA‐VET)

Veterinary Ophthalmology, Volume 28, Issue 3, Page 605-618, May 2025.
Abstract Objective To compare ocular surface parameters in dogs with different cephalic conformations and evaluate correlations among tests. Animals Studied Sixty‐eight privately owned dogs. Procedures The study categorized canine eyes into three groups based on the craniofacial ratio (CFR): brachycephaly (≤0.52), mesocephaly (>0.52 to <0.67), and ...
Yan‐Hui Li, Bianca Martins, Chung‐Tien Lin   +2 more
wiley   +1 more source

Ocular surface assessment and morphological alterations in meibomian glands with non-contact meibography in electronic cigarette smokers

, 2022
Purpose: The study aimed to evaluate the ocular surface and meibomian gland morphology in electronic cigarette (e-cigarette) smokers. Methods: The upper and lower eyelids of 25 male e-cigarette smokers and 25 healthy male non-smoker patients were ...
Mustafa Kalayci (91374), Kenan Yigit (12684999), Berna Dogan (5762903), Muhammet Kazim Erol (5762894), Lütfiye Yaprak (12684996), Elcin Suren (6274997), Ersan Cetinkaya (12684993)   +6 more
core   +1 more source

Evaluation of ocular surface parameters before and after cryo‐ and laser therapy for distichiasis in dogs: A pilot study

Veterinary Ophthalmology, Volume 28, Issue 3, Page 630-639, May 2025.
Abstract Objective The aim of this pilot study was to establish a satisfactory, scientific approach to effectively compare quantitative measurements of various ocular surface parameters before and after surgical treatment in dogs suffering from distichiasis.
V. Zwiauer‐Wolfbeisser, A. Tichy, B. Nell   +2 more
wiley   +1 more source

Optimizing the treatment for dry eye syndrome in patients with allergic conjunctivitis

Journal of Ophthalmology, 2020
Background: Allergic conjunctivitis is commonly complicated by secondary dry eye syndrome that substantially affects the quality of life of patients and requires a comprehensive approach to treatment.
F.A. Bakhritdinova, S.A. Mirrakhimova, K.I. Narzikulova, Zh.O. Safarov, O.I. Oripov   +4 more
doaj   +1 more source

Internal validation of a convolutional neural network pipeline for assessing meibomian gland structure from meibography

Optometry and Vision Science, Volume 102, Issue 1, Page 28-36, January 2025.
SIGNIFICANCE Optimal meibography utilization and interpretation are hindered due to poor lid presentation, blurry images, or image artifacts and the challenges of applying clinical grading scales. These results, using the largest image dataset analyzed to date, demonstrate development of algorithms that provide standardized, real‐time inference that ...
Charles Scales, John Bai, David Murakami, Joshua Young, Daniel Cheng, Preeya Gupta, Casey Claypool, Edward Holland, David Kading, Whitney Hauser, Leslie O'Dell, Eugene Osae, Caroline A. Blackie   +12 more
wiley   +1 more source

Comparison of the Effect of and Compliance With Cyclosporine 0.1% After Various Pretreatments in Dry Eye Disease

Journal of Ophthalmology, Volume 2025, Issue 1, 2025.
Purpose: We sought to compare the effect of cyclosporine 0.1% after various pretreatments in patients with dry eye disease. Methods: Two hundred seventy‐four eyes of 137 patients diagnosed with dry eye disease were retrospectively enrolled. Thirty patients (Group 1, 60 eyes) were not pretreated, while 68 patients (Group 2, 136 eyes) were pretreated ...
Donghyun Jee, Su Yeon Han, Hyun Seung Kim, Eun Chul Kim, Giovanni William Oliverio   +4 more
wiley   +1 more source

Reliable, Noncontact Imaging Tool for the Evaluation of Meibomian Gland Function: Sirius Meibography

, 2020
Objectives: To investigate the correlation between the clinical grading of the severity of meibomian gland dysfunction (MGD) and meibomian gland area (MGA) loss detected using Sirius meibography in the upper and lower eyelids and to correlate these ...
Gulmez, Sevim, Unlu, METİN, Gumus, K
core   +1 more source