Artificial Intelligence in Public Health

The book covers the basic principles of artificial intelligence (AI) and its applications in public health practice and population health, including data-driven decision-making, disease surveillance, outbreak detection, epidemiological analysis, health promotion, programme monitoring, policy formulation, and disease prediction, to name a few. The book provides a simple and practical introduction to the fundamentals of AI and its evolution from early computational theories to current technologies such as machine learning, deep learning, natural language processing, computer vision, and generative AI, and how AI can help health systems cope with challenges from infectious diseases, non-communicable diseases, climate change, demographic transitions, and growing healthcare demands.