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Binocular Dynamic Visual Acuity in Eyeglass-Corrected Myopic Patients

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Published on: March 29, 2022

Transforming Eye-Care Diagnostics Through Artificial Intelligence, Biometric Evaluation, and Tele-Optometry.

Sushil Kumar Kar¹, Kedar Nemivant², Urvashi Krunalkumar Sharma³

¹Department of Ophthalmology, Hi-Tech Medical College & Hospital, Rourkela, IND.

|May 26, 2026

Summary

Digital advancements like artificial intelligence (AI) and tele-optometry are revolutionizing eye care. These technologies improve early detection of visual impairments, enhancing accessibility and clinical decision-making for better patient outcomes.

Keywords:

artificial intelligence biometric evaluation ophthalmic diagnostics tele-optometry vision screening

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Using an Automated Hirschberg Test App to Evaluate Ocular Alignment

Using an Automated Hirschberg Test App to Evaluate Ocular Alignment

Published on: March 24, 2020

Area of Science:

Ophthalmology
Digital Health
Medical Technology

Background:

Visual impairment is a significant global health issue, often linked to conditions like diabetic retinopathy, glaucoma, and macular degeneration.
Current diagnostic methods face challenges in accessibility, consistency, and timely detection, impacting effective eye care.
Digital technologies offer promising solutions to overcome these limitations in ophthalmic diagnostics.

Purpose of the Study:

To review recent advancements in digital ophthalmic diagnostics.
Focus on artificial intelligence (AI)-based image analysis, ocular biometric technologies, and tele-optometry platforms.
Synthesize current knowledge on diagnostic capabilities and clinical relevance of these digital tools.

Main Methods:

Comprehensive literature review of recent developments in digital ophthalmic diagnostics.
Evaluation of studies on AI applications in retinal image analysis.
Assessment of research on ocular biometric measurement and tele-optometry systems.

Main Results:

AI algorithms demonstrate effectiveness in automated retinal image interpretation for early disease detection.
Ocular biometric evaluation provides precise measurements crucial for refractive assessment and surgical planning.
Tele-optometry systems enhance access to diagnostic services, particularly in underserved areas, through remote consultations and imaging.

Conclusions:

The integration of AI, biometric technologies, and tele-optometry holds significant potential for improving ophthalmic disease detection.
These digital tools can strengthen clinical decision support systems.
There is a clear pathway to expand the accessibility and efficiency of ophthalmic diagnostic services globally.