MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202621053896 A) filed by Dr. D. Y. Patil Institute Of Technology, Pimpri, Pune - on April 28, 2026, for Heart Attack Risk Prediction Using Retinal Images.
Inventors include Dr. Rachna Somkunwar; Udayraj Koli; Pranit Mane; Rohan Shinge; Swapnil Kumbhar; and Sunita Patil.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: Abstract The current invention encompasses a non-invasive, AI-powered diagnostic system for forecasting cardiac infarction risk from retinal images. Retinal fundus images are taken and examined to obtain the vascular patterns related to the health of the heart and blood vessels. The system employs a convolutional neural network (CNN) trained on annotated datasets to figure out risk levels. In the initial screening stages, it is waived to have invasive procedures such as blood tests or ECGs. Image preprocessing methods are used to bring different images to a common brightness level, enhance contrast, and get rid of noise. The features that have been extracted are then predicted to indicate cardiac infarction risk at low, moderate, or high levels. A simple-to-use dashboard presents the results and suggestions to the medics in real- time.The model gets better with time through continuous learning and data update loops. Coupling with electronic health records (EHR) facilitates an easy clinical usage. Cloud installation allows for telemedicine support, remote access, and scalability.With its usage, clinics, the countryside, and mobile diagnostic units are envisaged. It tremendously decreases the time taken for diagnosis, cost, and the possibility of human error in the cardiovascular assessments. The method employs retinal health as a biomarker for general systemic conditions. AI interpretation provides that the decisions in patient care are always coming from the same source and are data-driven.This invention is a novel and efficient tool for the early detection of cardiovascular risk and its prevention.
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