AI‐Driven Personalized Care for Chronic Disease Patients Tailoring Treatments and Interventions Using AI for Conditions Such as Diabetes, Hypertension, and Heart Disease

Chronic diseases such as diabetes, high blood pressure, and heart disease are major contributors to global illness and mortality, placing significant strain on healthcare systems worldwide. Long-term treatment plans are usually used to handle these conditions by reducing symptoms, avoiding problems, and improving the quality of life for patients. Traditional ways of handling chronic diseases don't always take into account the needs of each person, which can lead to less-than-ideal results and extra costs for healthcare. Recent progress in artificial intelligence (AI) could change how chronic diseases are handled by letting people get personalized care that fits their specific needs. AI-driven targeted care uses information from many places, like electronic health records, tracking tech, DNA data, and trends of living, to make treatment plans that are just right for each patient. Machine learning systems can look at very large, complicated datasets to find trends and predict how a disease will progress. This helps doctors decide on the best way to treat patients. For people with diabetes, AI models can help predict changes in blood sugar levels and suggest the best insulin doses, which lowers the risk of hypoglycemic events. For people with high blood pressure, AI tools can help keep an eye on their blood pressure trends and make changes to their medicines as needed. The tools can also give them advice on how to deal with stress and food. Similarly, AI can be used to look at heart disease data, like electrocardiograms and imaging results, to figure out how likely it is that someone will have a heart attack or stroke so that help can be given at the right time. Using AI to help control chronic diseases also makes it easier to keep an eye on them all the time, so data can be collected and actions can be taken right away.