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AI-Enabled Diabetic Retinopathy Screening in India’s Primary Healthcare System

AI analyses retinal images captured during screening to detect early signs of diabetic retinopathy and support large-scale eye disease screening programs.

About Use Case

Diabetic retinopathy is a major cause of preventable blindness among people with diabetes. Early detection through regular retinal screening can significantly reduce the risk of vision loss. However, large-scale screening programs often face challenges due to limited availability of ophthalmologists and specialized diagnostic equipment.

AI-enabled retinal screening systems analyse retinal photographs captured at primary healthcare facilities. Deep learning models trained on large datasets of retinal images identify signs of diabetic retinopathy such as microaneurysms, hemorrhages, and retinal swelling.


For additional context and detailed documentation of this use case, please refer to pages 258-259 in the attached Casebook.

Source Organization Source Organization

IndiaAI

Tags Tags

  • AI for Healthcare

Tags Sector

Healthcare, Wellness and Family Welfare

Resources Resources

Related Datasets Related Datasets

Updated 20 day(s) ago
Diabetic-Retinopathy Screening
Diabetic-Retinopathy Screening
Information
This dataset contains de-identified retinal fundus images captured using Remedio imaging systems, curated for the detection and grading of Diabetic Retinopathy (DR).
Diabetic Retinopathy
Retinal Fundus Imaging
Medical Imaging Dataset
Ophthalmology
Artificial Intelligence in Healthcare
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ICMR-NATIONAL INSTITUTE FOR RESEARCH IN DIGITAL HEALTH AND DATA SCIENCE