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Quantification of Metamorphopsia Using a Smartphone-Based Hyperacuity Test in Patients With Idiopathic Epiretinal Membranes: Prospective Observational Study

Quantification of Metamorphopsia Using a Smartphone-Based Hyperacuity Test in Patients With Idiopathic Epiretinal Membranes: Prospective Observational Study

An epiretinal membrane (ERM) is a common disorder leading to a decrease in visual acuity and distorted vision, called “metamorphopsia” in later stages [1,2]. ERMs in the majority of cases are idiopathic with no identifiable cause; however, they may be secondary due to an already existing ocular pathology.

Daria Amon, Christoph Leisser, Andreas Schlatter, Manuel Ruiss, Caroline Pilwachs, Natascha Bayer, Josef Huemer, Oliver Findl

JMIR Perioper Med 2025;8:e60959

The Impact of Long-Chain Omega-3 Polyunsaturated Fatty Acid Supplementation in Pregnant Women Toward the Intelligence Status of Early Childhood: Protocol for a Systematic Review and Meta-Analysis

The Impact of Long-Chain Omega-3 Polyunsaturated Fatty Acid Supplementation in Pregnant Women Toward the Intelligence Status of Early Childhood: Protocol for a Systematic Review and Meta-Analysis

The outcome of children’s intelligence can be assessed using various tools that measure factors like cognition, attention, motor skills, language, behavior, vision, hearing, social-emotional, and neurodevelopment. We will conduct a systematic review in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) [20].

Han Yin Lim, Mohammad Adi Mohammad Fadzil, Suraiami Mustar, Imanul Hassan Abdul Shukor, Wan Ahmad Syazani Mohamed

JMIR Res Protoc 2025;14:e60417

A Tablet-Based Technology for Objective Exercise Monitoring in Vestibular Rehabilitation: Mixed Methods Study

A Tablet-Based Technology for Objective Exercise Monitoring in Vestibular Rehabilitation: Mixed Methods Study

Current clinical practice guidelines recommend that people with vestibular disorders complete gaze stabilization exercises at a minimum of 3 times per day for a total of at least 12‐20 minutes each day if they have difficulty with vision or dizziness with head movement [5,6].

Brooke N Klatt, Pedram Hovareshti, Lisa S Holt, Pamela M Dunlap, Chad Zalkin, Devendra Tolani, Susan L Whitney

JMIR Rehabil Assist Technol 2025;12:e58713

Diagnostic Decision-Making Variability Between Novice and Expert Optometrists for Glaucoma: Comparative Analysis to Inform AI System Design

Diagnostic Decision-Making Variability Between Novice and Expert Optometrists for Glaucoma: Comparative Analysis to Inform AI System Design

These AI systems use techniques of image processing, computer vision, deep learning, and transfer learning to detect and diagnose glaucoma. Glaucoma is a progressive eye disease that often eludes early detection due to its subtle or absent symptoms, which poses a unique challenge for optometrists [2].

Faisal Ghaffar, Nadine M. Furtado, Imad Ali, Catherine Burns

JMIR Med Inform 2025;13:e63109

High-Resolution Eye-Tracking System for Accurate Measurement of Short-Latency Ocular Following Responses: Development and Observational Study

High-Resolution Eye-Tracking System for Accurate Measurement of Short-Latency Ocular Following Responses: Development and Observational Study

For the first model, we created a dataset in which we used classical computer vision algorithms to annotate the ROIs in each image, followed by manual validation. For the second model, we used traditional algorithms to annotate the pupil region within the eye ROIs extracted in the previous step, again followed by manual validation.

Aleksandar Miladinović, Christian Quaia, Simone Kresevic, Miloš Ajčević, Laura Diplotti, Paola Michieletto, Agostino Accardo, Stefano Pensiero

JMIR Pediatr Parent 2024;7:e64353

Implementation of Artificial Intelligence–Based Diabetic Retinopathy Screening in a Tertiary Care Hospital in Quebec: Prospective Validation Study

Implementation of Artificial Intelligence–Based Diabetic Retinopathy Screening in a Tertiary Care Hospital in Quebec: Prospective Validation Study

DR is also the leading cause of vision loss in people of working age and is associated with increased mortality [3]. Detection of DR at an early stage, when it can be treated with the best prognosis, is crucial in preventing vision loss [4]. Diabetes Canada recommends annual to biennial DR screening by an ophthalmologist or an optometrist for all people with diabetes [3]. Despite this recommendation, up to a third of diabetic patients go unscreened in Ontario, for example [5].

Fares Antaki, Imane Hammana, Marie-Catherine Tessier, Andrée Boucher, Maud Laurence David Jetté, Catherine Beauchemin, Karim Hammamji, Ariel Yuhan Ong, Marc-André Rhéaume, Danny Gauthier, Mona Harissi-Dagher, Pearse A Keane, Alfons Pomp

JMIR Diabetes 2024;9:e59867

Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation

Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation

Since October 2023, GPT-4 Vision (GPT-4 V) has gained the ability to evaluate image data, enabling a multimodal diagnostic approach that incorporates both language processing and image analysis [12]. GPT-4 V enables the integration of patient information analysis and image-based deep learning models, providing valuable support in diagnosis and treatment, similar to decisions made in a clinical setting [13].

Masao Noda, Hidekane Yoshimura, Takuya Okubo, Ryota Koshu, Yuki Uchiyama, Akihiro Nomura, Makoto Ito, Yutaka Takumi

JMIR AI 2024;3:e58342

Using Smartphones to Enhance Vision Screening in Rural Areas: Pilot Study

Using Smartphones to Enhance Vision Screening in Rural Areas: Pilot Study

This paper reports the findings from a school vision screening program that used the apps we developed for the first time. We aimed to demonstrate the feasibility of an app-based vision screening program involving both strabismus and refractive error tests performed by nonprofessionals.

Zheng Wang, John Kempen, Gang Luo

JMIR Form Res 2024;8:e55270

Patient Experiences and Insights on Chronic Ocular Pain: Social Media Listening Study

Patient Experiences and Insights on Chronic Ocular Pain: Social Media Listening Study

Symptoms described by patients varied widely and could be categorized as eye pain–related, such as burning and irritation; vision-related, such as blurred vision and light sensitivity; and physical, such as insomnia and headache (Figure 3). The severity of the symptoms was ranked (high and moderate to low) on the basis of key words and phrases used in the posts. Of the 261 conversations, 85.8% (n=224) of posts were rated as high severity and 14.2% (n=37) as moderate to low severity.

Brigitte Sloesen, Paul O'Brien, Himanshu Verma, Sathyaraj Asaithambi, Nikita Parashar, Raj Kumar Mothe, Javed Shaikh, Annie Syntosi

JMIR Form Res 2024;8:e47245

mHealth Technology Experiences of Middle-Aged and Older Individuals With Visual Impairments: Cross-Sectional Interview Study

mHealth Technology Experiences of Middle-Aged and Older Individuals With Visual Impairments: Cross-Sectional Interview Study

Specifically, the term “Low vision” refers to a level of visual impairment that cannot be corrected by glasses, contact lenses, medication, or surgery, significantly affecting an individual’s ability to perform daily routines [3]. Meanwhile, “blindness” describes a more severe visual impairment, characterized by a complete inability to perceive light [3].

Soyoung Choi, Md Refat Uz Zaman Sajib, Jenna Manzano, Christian Joseph Chlebek

JMIR Form Res 2023;7:e52410