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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21558
Article Published : 8520
Total Authors : 22416
Total Reviewer : 805
Total Countries : 159
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| Paper Title: | Prediction of Cardiovascular Risk by using Retinal Images |
| Authors Name: | Ms. Poojitha K , Ms. Chathurika K M , Ms. Eshwari R , Ms. Harshitha A B , Ms. Sinchana S Murthy |
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| Author Reg. ID: |
IJRTI_209009
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| Published Paper Id: | IJRTI2602015 |
| Published In: | Volume 11 Issue 2, February-2026 |
| DOI: | |
| Abstract: | Retinal disorders and cardiovascular diseases are major global health concerns that are frequently connected by microvascular alterations that are visible in the retina. Although they are expensive and invasive, traditional diagnostic techniques like angiography, MRI, and ECG are useful. An inexpensive, non-invasive option that reflects systemic cardiovascular health is retinal fundus imaging. This study presents a deep learning-based AI framework for analyzing fundus images for biomarkers like microaneurysms, hemorrhages, tortuosity, and vessel narrowing. Early diagnosis and risk stratification are made possible by the method, which also increases accessibility and lessens patient burden. Particularly in environments with limited resources, prompt intervention improves clinical outcomes by reducing the risk of cardiovascular events and vision loss. |
| Keywords: | Cardiovascular Disease (CVD), Retinal Fundus Imaging, Deep Learning, Noninvasive Diagnosis, Early Detection. |
| Cite Article: | "Prediction of Cardiovascular Risk by using Retinal Images ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.11, Issue 2, page no.a116-a121, February-2026, Available :http://www.ijrti.org/papers/IJRTI2602015.pdf |
| Downloads: | 00087 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2602015
Registration ID:209009
Published In: Volume 11 Issue 2, February-2026
DOI (Digital Object Identifier):
Page No: a116-a121 Country: Mahalakshmipuram,Bengaluru urban, Karnataka , India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2602015 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2602015 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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