Chronic Heart Disease Management with AI

In this chapter, CHD refers to chronic heart disease, including conditions such as heart failure, coronary artery disease, and related complications. Chronic heart disease (CHD) is still the top cause of illness and death around the globe, and hence, it is important to look for new ways of treatment relating to it. Artificial intelligence (AI) in this regard has the ability to transform the management of chronic heart disease by predicting complications and enabling earlier interventions. This chapter looks at how AI technologies can be used to monitor patients with heart disease, predict complications, and recommend strategies to prevent them. First, we talk about how AI can be added to current electronic health record (EHR) systems so that real-time monitoring of patient health data is always possible. These systems use machine learning methods to look at huge amounts of real-time and historical data, such as heart biomarkers, lifestyle factors, and past medical history, to find trends and accurately predict the risk of future cardiovascular events. Second, we talk about how to make prediction models that are especially made for managing chronic heart disease. These models use different AI methods, like supervised learning and deep learning, to predict important events like heart attacks and heart failure before they happen. When these kinds of prediction tools are used in hospital situations, they help doctors give more personalized care at the right time, which lowers the risk of serious problems. We also look at how AI can be used to suggest specific preventative steps. AI systems can suggest lifestyle changes, drug tweaks, and other treatments that are special to each person's risk profile by looking at both patient-specific data and health trends across the whole community. In the last part of the paper, the problems and moral issues that come up when using AI in healthcare are discussed. These include data safety, model openness, and the need for strong, expandable AI infrastructure.