Automated detection of underlying diseases through eye imaging analysis
‘Ocular Insights’, is an automated system designed to detect any underlying diseases present in an individual through eye imaging analysis. The system aims to improve the early detection and diagnosis of ocular diseases such as diabetic retinopathy, glaucoma, age-related macular degeneration, cataracts and other common ocular conditions. By leveraging machine learning algorithms and integrating with existing healthcare systems Ocular Insights seeks to streamline the diagnostic process and improve patient outcomes. This system covers various aspects like image upload and processing, disease detection algorithms, machine learning model integration, user interface design, patient doctor matching, telemedicine platform integration, electronic health records (EHR) integration, community health screening campaigns, and training and support for healthcare professionals. These requirements are designed to ensure that Ocular Insights meets the needs of healthcare providers and patients while adhering to relevant regulations and standards.
Authors
- Rohit Patil (ORCID: https://orcid.org/0009-0003-1361-6541)
- N Shashank
- Ruby Dinakar
- Rajeev Kalose
- A Rathan
Institutions
- PES University (IN)
Publication Details
- Published
- 2025-06-09
- DOI
- https://doi.org/10.1117/12.3070562
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00