Artificial Intelligence (AI) in Cardiovascular Diseases Detection
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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.
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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
Bringing AI-Assisted Cardiology into the Future, August 3, 2023
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).
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