How is Artificial Intelligence (AI) used in today‚Äôs digitization of health, and how will it shape our future of health? AI is becoming increasingly important in digitizing many areas of health care, medicine, and life sciences. Indeed, AI is already key in approaches of digital health, such as digital medicine, digital diagnostics and digital therapeutics. A main driver for this development is that AI can efficiently personalize health services for many people. Key stakeholders in health care, e.g. health insurers, hospitals and doctors, believe that AI is a scalable approach to achieve better health outcomes at lower costs. In short, ‚Äúautomated‚Äù personalization improves value in public health. For example, a person can improve long term health when he/she knows the practical meaning of his/her genetic and behavioral background in daily life situations. This presentation focuses on how AI (and related concepts, such as Machine Learning and Data Science) addresses today‚Äôs challenges of health, and considers theoretical and technical requirements and limitations. Recent technologies are reviewed in more depth, such as advanced and predictive analytics, and social and mobile health.