Binocular vision parameters and visual performance in bilateral keratoconus corrected with spectacles versus rigid gas-permeable contact lenses / Parámetros de visión binocular y rendimiento visual en queratocono bilateral corregido con gafas versus lentes de contacto rígidos permeables al gas

Purpose: To analyze binocular vision of individuals aged 18 to 35 years diagnosed with keratoconus, utilizing spectacles and rigid gas-permeable (RGP) contact lenses. Research was led by the Universidad Autónoma de Aguascalientes, México and Fundación Universitaria del Área Andina Pereira, Colombia. Methods: A single center, prospective non-randomized, comparative, interventional, open-label study, in which the differences in binocular vision performance with both spectacles and RGP contact lenses was carried out from December 2018 to December 2019. Sampling was performed according to consecutive cases with keratoconus that met the inclusion criteria until the proposed sample size was reached. Results: Rigid gas-permeable (RGP) contact lenses notably enhanced distance and near visual acuity in keratoconus patients compared to spectacles. Visual alignment analysis shows exophoria at both distances and is slightly higher with RGP contact lenses. The difference was statistically significant (p<0.05), with 82.5 % presenting compensated phoria with spectacles and pnly 42.50% with RGP contact lenses. Stereoscopic vision improved while wearing RGP contact lenses (42.59 %), although accommodation and accommodative flexibility remained within normal ranges. Conclusions: Patients with keratoconus fitted with RGP contact lenses have improved binocular vision skills such as visual acuity, stereopsis, and accommodative flexibility. However, even when the vergence and motor system is decompensated with respect to normal ranges, the range between break and recovery points for both fusional reserves and the near point of convergence (NPC) improves with the use of RGP contact lenses, giving indications of an adaptive condition of the motor system from the medium to the long term.(AU)

[Challenges and prospects in the application of artificial intelligence for ocular disease screening and diagnosis].

In recent years, artificial intelligence (AI) technologies have experienced substantial growth across various sectors, with significant strides made particularly in medical AI through advancements such as large models. The application of AI within the field of ophthalmology can enhance the accuracy of eye disease screening and diagnosis. However, the deployment of AI and its large models in ophthalmology still encounters numerous limitations and challenges. This article builds upon the transformative achievements in the medical AI sector and discusses the ongoing challenges faced by AI applications in ophthalmology. It provides forward-looking insights from an ophthalmic perspective regarding the era of large models and anticipates research trends in AI applications in ophthalmology, so as to foster the continuous advancement of AI technologies, thereby significantly promoting eye health.

Fairer AI in ophthalmology via implicit fairness learning for mitigating sexism and ageism.

The transformative role of artificial intelligence (AI) in various fields highlights the need for it to be both accurate and fair. Biased medical AI systems pose significant potential risks to achieving fair and equitable healthcare. Here, we show an implicit fairness learning approach to build a fairer ophthalmology AI (called FairerOPTH) that mitigates sex (biological attribute) and age biases in AI diagnosis of eye diseases. Specifically, FairerOPTH incorporates the causal relationship between fundus features and eye diseases, which is relatively independent of sensitive attributes such as race, sex, and age. We demonstrate on a large and diverse collected dataset that FairerOPTH significantly outperforms several state-of-the-art approaches in terms of diagnostic accuracy and fairness for 38 eye diseases in ultra-widefield imaging and 16 eye diseases in narrow-angle imaging. This work demonstrates the significant potential of implicit fairness learning in promoting equitable treatment for patients regardless of their sex or age.

Awareness of glaucoma among adult patients attending hawassa university comprehensive specialized hospital ophthalmic outpatient department, Sidama, Ethiopia, August 2022.

BACKGROUND: Due to the asymptomatic nature of the disease and lack of awareness, most glaucoma patients present for eye examination late, after significant damage of optic nerve occur. Being aware of glaucoma is important for timely diagnosis of the disease and preventing blindness from it. OBJECTIVE: The aim of this study was to assess glaucoma awareness and associated factors among adult patients aged 35 and over attending the eye outpatient department. METHODS: Hospital based cross-sectional study was conducted on 284 adult patients aged 35 and over attending ophthalmic outpatient department from July to August 2022 using systematic random sampling. An interviewer-administered questionnaire was used to collect data. The data were checked for completeness, and then entered to SPSS version 22 software. Descriptive and binary logistic regression analyses were performed. Independent variables with p-value ≤ 0.05 in multivariate logistic regression were considered as statistically significant. RESULTS: About 284 study participants, of whom 57.75% were male, participated in this study with a response rate of 94.1%. The mean age of the study participants was 53.58 years. Only 39.09%(95% CI: 36.53-41.65) were aware of glaucoma. Age groups 46-50 [AOR; 1.83: 1.18, 2.56] and 51-64 [AOR; 3.21: 2.03, 4.39], having college education or above [AOR; 3.1: 2.20, 6.64], family member with glaucoma [AOR; 5.86:3.25, 8.0], income 6500 ETB [AOR; 2.9: 1.97, 5.00] and previous eye examination [AOR; 2.15: 1.46, 4.05] were factors significantly associated with awareness of glaucoma. The main sources of information were news media, family members with glaucoma and health workers. CONCLUSION: More than half (60.91%) of adult ophthalmic patients attending HUCSH were unaware of glaucoma and need eye health education concerning glaucoma.

A Clinician's Guide to Sharing Data for AI in Ophthalmology.

Data is the cornerstone of using AI models, because their performance directly depends on the diversity, quantity, and quality of the data used for training. Using AI presents unique potential, particularly in medical applications that involve rich data such as ophthalmology, encompassing a variety of imaging methods, medical records, and eye-tracking data. However, sharing medical data comes with challenges because of regulatory issues and privacy concerns. This review explores traditional and nontraditional data sharing methods in medicine, focusing on previous works in ophthalmology. Traditional methods involve direct data transfer, whereas newer approaches prioritize security and privacy by sharing derived datasets, creating secure research environments, or using model-to-data strategies. We examine each method's mechanisms, variations, recent applications in ophthalmology, and their respective advantages and disadvantages. By empowering medical researchers with insights into data sharing methods and considerations, this review aims to assist informed decision-making while upholding ethical standards and patient privacy in medical AI development.

Automated detection of steps in videos of strabismus surgery using deep learning.

BACKGROUND: Learning to perform strabismus surgery is an essential aspect of ophthalmologists' surgical training. Automated classification strategy for surgical steps can improve the effectiveness of training curricula and the efficient evaluation of residents' performance. To this end, we aimed to develop and validate a deep learning (DL) model for automated detecting strabismus surgery steps in the videos. METHODS: In this study, we gathered 479 strabismus surgery videos from Shanghai Children's Hospital, affiliated to Shanghai Jiao Tong University School of Medicine, spanning July 2017 to October 2021. The videos were manually cut into 3345 clips of the eight strabismus surgical steps based on the International Council of Ophthalmology's Ophthalmology Surgical Competency Assessment Rubrics (ICO-OSCAR: strabismus). The videos dataset was randomly split by eye-level into a training (60%), validation (20%) and testing dataset (20%). We evaluated two hybrid DL algorithms: a Recurrent Neural Network (RNN) based and a Transformer-based model. The evaluation metrics included: accuracy, area under the receiver operating characteristic curve, precision, recall and F1-score. RESULTS: DL models identified the steps in video clips of strabismus surgery achieved macro-average AUC of 1.00 (95% CI 1.00-1.00) with Transformer-based model and 0.98 (95% CI 0.97-1.00) with RNN-based model, respectively. The Transformer-based model yielded a higher accuracy compared with RNN-based models (0.96 vs. 0.83, p < 0.001). In detecting different steps of strabismus surgery, the predictive ability of the Transformer-based model was better than that of the RNN. Precision ranged between 0.90 and 1 for the Transformer-based model and 0.75 to 0.94 for the RNN-based model. The f1-score ranged between 0.93 and 1 for the Transformer-based model and 0.78 to 0.92 for the RNN-based model. CONCLUSION: The DL models can automate identify video steps of strabismus surgery with high accuracy and Transformer-based algorithms show excellent performance when modeling spatiotemporal features of video frames.

Epithelial and stromal thickness profile and lens decentration in myopic orthokeratology / Perfil de espesor epitelial y estromal y descentrado del cristalino en ortoqueratología miope

Purpose: To study topographic epithelial and total corneal thickness changes in myopic subjects undergoing successful orthokeratology treatment in connection with the objective assessment of contact lens decentration. Methods: A prospective-observational and non-randomized study in 32 Caucasian myopic eyes undergoing Ortho-k for 3 months. Total, epithelial, and stromal thicknesses were studied before and after Ortho-k treatment, using optical coherence tomography with anterior segment application software. Central, paracentral, and mid-peripheral values are taken along 8 semi-meridians. Results: The central average total corneal thickness was 4.72 ± 1.04 μm thinner after Ortho-K. The paracentral corneal thickness showed no significant changes (p = 0.137), while the mid-peripheral corneal thickness was increased by 3.25 ± 1.6 μm associating this increase exclusively to the epithelial plot (p<0.001). When lens centration was assessed, a lens fitting decentration less than 1.0 mm was found for the whole sample, predominantly horizontal-temporal (87.5%) and vertical-inferior (50%) decentring. Corneal topographical analysis revealed a horizontal and vertical epithelial thickness asymmetric change profile with paracentral temporal thinnest values, and mid-peripheral nasal thickest values. Conclusions: The present study found a central corneal thinning induced by Ortho-k lenses in subjects with moderate myopia, only associated with a change in epithelial thickness, as well as mid-peripheral thickening, that seems to be mainly epithelial in origin. The authors also found a tendency of contact lens decentration toward temporal and inferior areas conditioning an asymmetric epithelial redistribution pattern.(AU)

Citation network analysis on keratoconus

Objective: The high incidence of keratoconus has caused its management, etiology, and pathogenesis to be controversial topics in the ophthalmology field. This study aims to analyze the relationship between the different publications and authors through citation networks, as well as to identify the research areas and determine the most cited article. Methods: The search for publications was carried out through the Web of Science database, using the term “Keratoconus” between 1900 and December 2022. The Citation Network Explorer and CiteSpace software were used for the publication analysis. Results: 9,655 publications were found, with 124,379 citations generated on the network. The year with the highest number of publications was 2021. The most cited publication was “Keratoconus” by Rabinowitz, published in 1998. Cluster function gave five groups of research areas about keratoconus: corneal signs and parameters, cross-linking efficiency and effects, clinical factors, keratoplasty, and treatment. Conclusions: The citation network offers an objective and comprehensive analysis of the papers on keratoconus. (AU)

[OPHTHALMOLOGY - ON THE TIP OF THE SPEAR].

INTRODUCTION: Ophthalmology is a broad branch of medicine, which includes an extensive range of sub-specialties on one hand, and interfaces with other fields of medicine on the other. This issue contains papers from different sub-specialties of ophthalmology, that together cover several of the most important issues in this field. These papers present the topics in a manner compatible with the wide readership of the journal, and touch upon the most current updates and innovations. The original articles in this issue deal with treatments for the prevention of myopia progression in children, treatment of complicated cases of retinal detachment in children, ocular manifestations of vascular abnormalities in patients with coronavirus, and a series of patients with corneal damage due to ultraviolet-C (UVC) lamps intended to clear the air of this virus. The review papers describe glaucoma and the current change in its treatment paradigm, which focuses on earlier intervention, ocular manifestations of systemic autoimmune diseases, and the possibilities for artificial corneal implantation. We hope that this special issue will be of interest and clinical value to its readers.

A Cross-sectional Online Questionnaire-based Survey About the Use of Compounded Medications in Veterinary Ophthalmology.

The aims of this survey were to determine how veterinary ophthalmologists worldwide use compounded ophthalmic drugs to treat ocular diseases, define their attitudes regarding compounding pharmacies, and identify commonly dispensed veterinary ophthalmic formulations as well as the diseases for which those preparations are most often prescribed. Respondents voluntar i ly and anonymously completed a questionnaire that was sent to a total of 1014 veterinary ophthalmologists at universities, specialty colleges, and ophthalmology associations in 24 countries. One hundred thirty (12.83%) veterinary ophthalmologists replied. Of those, 87 (66.92%) had worked in  veterinary ophthalmology for more than 10 years. Ten to 30% of their total prescriptions were compounded ophthalmic drugs, the most common of which were tacrolimus and cyclosporine for the treatment of keratoconjunctivitis sicca. Reported advantages of treatment with a compound included the accessibility of preparations that were not commercially available and the ability to customize formulations; reported disadvantages included brief shelf life, delivery time, and cost.

[Alexander Grigoryevich Lyutkevich - a prominent figure in Russian ophthalmology and public health. (On the 155th anniversary of his birth)]. / Aleksandr Grigor'evich Lyutkevich ­ vidnyi deyatel' otechestvennoi oftal'mologii i zdravookhraneniya. (K 155-letiyu so dnya rozhdeniya).

This article, composed using literary sources and archival materials, is dedicated to the 155th anniversary of Alexander Grigoryevich Lyutkevich - a prominent Russian ophthalmologist of the late 19th and early 20th centuries (12.09.1867-18.04.1928) and one of the founders of the Voronezh Medical Institute. The paper traces the main stages of his biography, notes his work in rapid-reaction emergency care units, and pays attention to his teaching activities. The importance of Lyutkevich's doctoral dissertation on the treatment of high myopia is emphasized. The article also highlights his important role as editor of the classic textbook "Course of eye diseases" by A.A. Kryukov. In Lyutkevich's public activities, his contribution to the establishment of the Society of Ophthalmologists in Moscow is particularly noteworthy. Lyutkevich's high organizational skills are highlighted, which were clearly manifested in the Yuriev University and in the creation of the medical faculty of the Voronezh University.