Saudi Arabia, with a population of 32 million and a gross national income of $22,000 per capita, is considered a high-income country. The country has made strong progress in managing infectious diseases and lowering infant and child mortality. However, it now faces a growing health challenge: the rapid rise of non-communicable diseases (NCDs), particularly those linked to lifestyle choices. Conditions such as obesity, hypertension, and diabetes are increasing quickly and affect people across all age groups and backgrounds. These diseases are now among the top causes of death globally and contribute heavily to premature mortality. They are also major risk factors for heart disease and type 2 diabetes. Addressing these issues requires prevention, early detection, and intervention. Artificial intelligence (AI) can help. AI technologies, including machine learning and data analytics, can analyze large amounts of health data to identify individuals at risk. Tools like wearable devices and mobile apps can monitor physical activity, diet, and metabolic indicators in real time. AI can also analyze electronic health records to predict who may develop diabetes or high blood pressure. This allows healthcare providers to act before symptoms appear. In rural areas of Saudi Arabia, where access to care may be limited, AI-based tools can provide targeted and timely support. Mobile applications powered by AI can offer personalized advice, promote healthy behaviors, and help reduce disease risk. This research aims to examine the prevalence of lifestyle-related diseases in rural Saudi Arabia and assess how AI can support prevention and early detection in these communities.