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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.
Cureus
|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.
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.
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