Clinical Guide to AI in Healthcare

A Clinical Guide to AI in Healthcare: Applications Across Medical Specialties is the first comprehensive exploration of how artificial intelligence (AI) can be applied across the full spectrum of medical specialties.Written by a leading expert in the field, the book offers a balanced, practical assessment of both the potential and limitations of AI within clinical settings. Split into five parts, Part I begins by outlining the case for AI, including a working taxonomy and methodological framework, as well as a chapter illustrating a basic method for using AI in everyday clinical practice. Part II then surveys the different modalities of AI and how they can be applied to different clinical departments. Each chapter pairs the evidence for a technique with its limitations, for example distribution shift, automation bias, and the gap between demonstration and deployment. Part III spotlights issues around governance and ethics, including data privacy, while Part IV provides insights into how AI is already being used, including both success stories and more cautionary tales. The final section of the book looks at future directions of how the technology may be used.Timely and insightful, the book will be essential reading for healthcare professionals, clinicians, data scientists and health informatics specialists, as well as students and researchers in these fields.Included with the text are online supplemental materials for faculty use including PowerPoint Slides and an instructor's manual, available at www.routledge.com/9781041429869.