Artificial Intelligence (AI) in Cardiovascular Diseases Detection
Authors
Shital A. Ladkat
Department of Electronics, Dr. D. Y. Patil Arts, Commerce and Science, Pimpri, Pune, Maharashtra, India (IN)
Article Information
DOI: 10.51583/IJLTEMAS.2025.1413SP028
Subject Category: Computer Science
Volume/Issue: 14/13 | Page No: 129-133
Publication Timeline
Submitted: 2025-10-24
Published: 2025-10-24
Abstract
Abstract—AI is significantly impacting cardiovascular disease diagnosis and management, enhancing accuracy, speed, and early detection. AI algorithms can analyze ECGs, imaging data, and other clinical information to identify heart conditions, predict risks, and personalize treatment strategies. This includes detecting structural heart diseases like hypertrophic cardiomyopathy and aortic stenosis, as well as predicting long-term outcomes for heart failure patients.
Keywords
ECG Sample, AI
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References
1. Shital L. Pingale, Nivedita Daimiwal,” Detection of Various Diseases Using ECG Signal in MALAB “International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-3, Issue-1, March 2014 [Google Scholar] [Crossref]
2. Bringing AI-Assisted Cardiology into the Future, August 3, 2023 [Google Scholar] [Crossref]
3. Xiaoyu Sun, Yuzhe Yin, Qiwei Yang ,Tianqi Huo,” Artificial intelligence in cardiovascular diseases: diagnostic and therapeutic perspectives” European Journal of Medical Research volume 28, Article number: 242 (2023). [Google Scholar] [Crossref]
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