AgenticAI EyeCare – AI Disease Detection System
Innovator ID
SNDMAC024
AI-based retinal screening system for early diabetic retinopathy detection with explainable lesion maps, reducing blindness and enabling scalable teleophthalmology.
Millions of diabetic patients are at risk of developing Diabetic Retinopathy, a leading cause of preventable blindness. However, regular retinal screening is difficult due to limited ophthalmologists, high testing costs, and lack of access in semi-urban and rural areas. Manual retinal diagnosis is time-consuming, subjective, and dependent on specialist availability, causing delayed detection and irreversible vision loss. There is a strong unmet need for a low-cost, accurate, explainable, and scalable automated screening system that can assist doctors and extend screening access to remote populations.
AgenticAI EyeCare uses adaptive, explainable AI with retinal image enhancement, automated lesion segmentation, and severity grading to detect Diabetic Retinopathy and related macular edema. It provides fast, accurate diagnostic reports and visual overlays, enabling early intervention, improved treatment outcomes, and scalable screening through teleophthalmology networks.
Hospitals, diabetic clinics, ophthalmology centers, and diagnostic labs that require regular retinal screening. Teleophthalmology service providers, government health programs, and NGOs running diabetic eye camps can use the system for large-scale screening. Fundus camera manufacturers and healthcare technology companies can integrate the AI into their devices for broader deployment.
AgenticAI EyeCare reduces the burden on ophthalmologists by automating retinal disease detection with high accuracy and speed. Early screening prevents severe vision loss, reducing long-term treatment costs. Clinics can increase patient throughput and improve diagnostic consistency. The explainable AI outputs build clinical trust through lesion-based visualization. The solution is scalable, cloud-compatible, cost-effective, and aligns with digital healthcare expansion under national health missions. It improves outcomes, saves time, and supports efficient public health screening at population scale.
We Would Require Support In the Following :
Technical and Product Development Support; Mentorship and Expert Guidance; Funding and Financial Assistance; Intellectual Property (IP) and Legal Support; Infrastructure and Prototyping Facilities; Networking, Collaboration, and Investor Connect
Capital to achieve the desired outcome, we would require
₹50–75 L, partial
And would be required for
Research, Design & Validation Funding; Technology and Digital Infrastructure Funding; Pilot Testing and Field Trial Support; Business Model & Market Access Support; Intellectual Property (IP) Protection Assistance
Expected Return Should Be in:
Less than 3 years