Overview

This book is a practical guide for anyone working in or alongside the health sector who needs to engage with the fast-evolving topic of artificial intelligence (AI). It aims to provide a balanced foundation for informed decision-making, helping readers ask the right questions and shape a future where AI serves public health goals. For newcomers, it offers an accessible introduction; for experienced professionals, it aims to broaden perspectives and uncover new opportunities.

Starting with the fundamentals of what AI really is (beyond the hype), it explores diverse approaches, from traditional machine learning to generative models, and how they are transforming (or could transform) clinical care, public health, scientific research and operational efficiency. It reveals both promise and pitfalls: improved outcomes and efficiency on the one hand, and risks such as bias, safety concerns and governance challenges on the other. Written for readers with varying technical backgrounds, it aims to deliver clear insights into ethical use, trust-building and regulatory frameworks, making it essential reading for health professionals, managers, policy-makers and researchers.