PORTABLE RETINAL DIAGNOSTIC SYSTEM USING GENAI & DEEP LEARNING FOR DECENTRALIZED EYE CARE
Abhay andrew, iyer and Shalom, T Sam and Usha Rupni, K (2026) PORTABLE RETINAL DIAGNOSTIC SYSTEM USING GENAI & DEEP LEARNING FOR DECENTRALIZED EYE CARE. In: International Conference on Innovation and Challenges in Engineering and Technology (ICICET-2026), 20 March 2026.
ECE Proceedings updated27-2-26 (1)_removed.pdf
Download (2MB)
Abstract
Our Smart AI Ophthalmologist will address India preventable blindness crisis by turning
standard smartphones into specialized diagnostic tools. We will develop a fifteen thousand
rupee hardware kit featuring a custom fundus lens cradle for use by ASHA and VHN staff in
the field. This system will utilize an offline Deep Learning pipeline optimized for edge devices
to categorize disease stages instantly at the point of care. In our upcoming pilot across
Chennai’s Urban PHCs, we expect to boost screening coverage from eight percent to a ninety
two percent rate. By skipping expensive desktop cameras, we will reduce the per patient cost
to just one hundred rupees. Finally, built in ABHA integration will ensure every screening is
logged into the national health ecosystem, making large scale rural screening both technically
and financially viable
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Computer Science Engineering > Deep Learning Computer Science Engineering > Artificial Intelligence |
| Domains: | Electronics and Communication Engineering |
| Depositing User: | Mr Surya P |
| Date Deposited: | 01 Jul 2026 07:42 |
| Last Modified: | 01 Jul 2026 07:42 |
| URI: | https://ir.vistas.ac.in/id/eprint/21860 |
