Revolutionizing Heart Disease Care With AI: Precision Medicine in Diagnosis, Prediction, and Treatment

Revolutionizing Heart Disease Care With AI: Precision Medicine in Diagnosis, Prediction, and Treatment

Priyanshi Vikram Mulwani (Dr. D.Y. Patil School of Science and Technology, Dr. D.Y. Patil Vidyapeeth, Pune, India), Manisha Bhende (Dr. D.Y. Patil School of Science and Technology, Dr. D.Y. Patil Vidyapeeth, Pune, India), and Swati Sharma (Dr. D.Y. Patil School of Science and Technology, Dr. D.Y. Patil Vidyapeeth, Pune, India)
Copyright: © 2025 |Pages: 30
DOI: 10.4018/979-8-3693-6294-5.ch019
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Abstract

The integration of Artificial Intelligence (AI) in heart disease care is transforming the landscape of precision medicine, enabling more accurate diagnosis, improved prediction of disease progression, and personalized treatment strategies. Utilising AI in cardiology improves patient outcomes and maximises healthcare systems' efficiency. By leveraging machine learning algorithms and data analytics, AI-powered tools can analyze vast amounts of medical data, including electrocardiograms, medical images, and patient records, to identify patterns and insights that may not be apparent to human experts. This chapter explores how AI can improve heart disease care, including early detection of abnormalities through image analysis, proactive risk prediction, working with wearable devices and personalized treatment plans tailored to individual patient needs. Explainable Artificial Intelligence (XAI) enhances the management of heart disease by providing transparent insights into AI decision-making processes
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