An Introduction to Artificial Intelligence for Clinicians

An Introduction to Artificial Intelligence for Clinicians: A Practical Guide to Clinical AI for Healthcare Professionals addresses the rapidly expanding field of clinical artificial intelligence and the potential it holds for healthcare professionals and their patients. It enables readers to create their own deep learning project and build a model using code-free deep learning. It also provides them with a comprehensive overview of the statistics used in clinical AI and methods to critically appraise clinical AI papers.

By equipping clinicians with education and skills they can use in the present world of clinical AI, they are better positioned for the future arrival of artificial intelligence into day-to-day patient care. To ensure the broad relevance of this book, the editors also draw on a yet unpublished qualitative evidence synthesis of stakeholder experiences of AI implementation across all healthcare contexts worldwide, which empowers readers to see how clinical AI could benefit patients in their own context and to inspire others to affect change.

It is a valuable resource for clinicians, students, researchers, healthcare professionals and members of medical and biomedical fields who are interested to learn more about artificial intelligence applied to clinical setting and healthcare.

• Provides an overview of the evolution and basic concepts of artificial intelligence, machine learning and deep learning
• Equips readers with a basic understanding of the statistics used in the AI clinical literature and provides them with the tools to critically evaluate this literature
• Enables readers to create their own AI research project and details the process behind creating a code-free deep learning model
• Outlines the various applications, barriers and facilitators of clinical AI, helping readers to understand the value of AI for their own contexts