Introduction

The growing integration of artificial intelligence (AI) in radiology department marks a significant shift in diagnostic imaging. This book provides a comprehensive overview of what is essential for successful implementation of AI in radiology, focusing on significant impacts and necessary adaptations within the clinical practice. AI offers significant benefits, including improved diagnostic accuracy, workflow efficiency, and the potential for automation of routine tasks. In addition, it also offers an opportunity to introduce personalised medicine into healthcare, through advanced analysis of medical images combined with other relevant patient data. However, its integration into the workflow involves several challenges, necessitating extensive changes in management strategies, workflow, technical infrastructure, and department culture. Effective implementation requires collaboration among various stakeholders, including IT departments, medical staff, and ethics committees, ensuring secure and responsible data management. Radiologists and medical professionals play a crucial role in adapting to AI, requiring an understanding of its strengths and limitations, as well as active involvement in its validation, implementation, and use. This book delves into these changes, offering insights into managing the transitions towards realising the potential of AI for improving radiological practices, thereby enhancing patient care.