Published Paper Details:

The eighth goal of the Global Action Plan for Noncommunicable Diseases states that at least 50% of eligible people should receive medication and counselling (including blood sugar control) to prevent heart attacks and strokes. Using holistic cardiovascular risk methods to prevent heart attacks and strokes is more cost-effective than treatment decisions based solely on individual risk factor thresholds, and should be part of the universal health coverage core benefit plan. At the individual level, in order to prevent the first heart attack and stroke, individual health interventions should target individuals with high overall cardiovascular risk or individuals with individual risk factors above traditional thresholds (such as hypertension and hypercholesterolemia). However, the delayed recognition and diagnosis of celiac disease can cause permanent damage to the heart. Heart failure can be life-threatening, but early treatment for heart disease can help prevent complications. This can cause heart disease, which can lead to complications and problems.Cardiovascular disease (CVD), despite significant advances in diagnosis and treatment, continues to be the leading cause of morbidity and mortality worldwide. To improve and optimize cardiovascular disease outcomes, AI can fundamentally change the way we approach cardiology, especially in imaging, offering us new tools for interpreting data and making clinical decisions. Artificial intelligence techniques such as machine learning and deep learning can also improve medical knowledge by increasing the volume and complexity of data, providing clinically relevant information.