International Conference on Multi-Agent Systems for Collaborative Intelligence · Mar 2, 2026
Retinal Images Based Cardiovascular Disease Detection Using Dl Approach
By Sharmila S, Aakash R, Deshanthiga M et al.
CVDs are recognized as the major cause of deaths in the entire world with an approximate 17.9 million deaths per annum. The increasing numbers of CVD cases are related to lifestyle changes, the steadily growing geriatric population, and the fact that CVD patients are identified at an older age, thus contributing to an increasing rate of deaths as well as health care costs. Thus, it has become the need of the day to check the CVD cases at an earlier age to avoid high health care costs. Recently, there have been breakthroughs in biomedical research, leading to new techniques and applications, including those of retinal imaging, which emerge as a new, non-invasive, and cost-effective tool for systemic disease diagnosis. There exists a very strong physiological and pathological correlation between retinal vasculature and cardiovascular health, where differences in diameter, tortuosity, and vascular patterns reveal prevalent cases of CVDs. On this basis, it is proposed that the proposed study will implement retinal imaging techniques for analyzing unique vascular patterns suggesting cases of cardiovascular diseases. Through an understanding of the characteristics of the retinal vessels and possible pathological variations that could exist between them, it is expected that this system shall facilitate an accurate diagnosis of CVDs without necessarily requiring the use of expensive diagnostic equipment. It is an alternative solution that is more patient-friendly.