AI is set to revolutionize medicine by enabling the development of intelligent drugs and personalized treatments. Over the next two decades, AI will transform the management of complex chronic diseases such as cancers, neurodegenerative, immuno-inflammatory, and rare genetic diseases. AI facilitates precision medicine by matching patients with optimal drugs through computational models, predicting drug efficacy, and identifying biomarkers to categorize patients. Stratified medicine will cater to subgroups of patients, while truly personalized treatments will address unique biological profiles. Advances in AI, molecular diagnostics, and imaging will enhance precision medicine, making it more personalized, predictive, and preventive. By identifying genetic mutations associated with specific risks and using AI for medical image analyses, the early detection of diseases like cancer, heart disease, and diabetes are becoming feasible. As AI-driven predictive models refine health risk assessments, they will pave the way for personalized preventive strategies, potentially throughout the lifetime. The integration of AI in healthcare thus promises to improve chronic disease management and healthy aging. This shift toward prevention fostered by health risk predictions in patients and healthy individuals involves societal and ethical considerations, especially regarding genetic selection and privacy.