Description:
Artificial Intelligence Based Primary Care: Artificial Intelligence and Human Cognition in General Practice and Family Medicine provides a comprehensive look into the integration of artificial intelligence within primary care. This book aims to bridge the gap between data scientists and primary care clinicians by presenting potential AI applications, implementation challenges, and real-world clinical scenarios in an accessible manner. Comprised of 5 sections and 20 chapters, it offers both theoretical insights and practical guidance for family medicine practitioners.
Additionally, the book includes a chapter dedicated to a day in the life of a General Practitioner, showcasing the practical impact of AI. It also features an extra compendium listing the Top 100 articles and best books on Artificial Intelligence. This resource is invaluable for academics, researchers, and clinicians eager to expand their knowledge in this emerging field.Brief description:
Dr. Nadia Smati is an academic internist focused on healthcare delivery, policy, and technology implementation to improve equitable clinical care. Trained in both the U.K. and U.S., she brings a global perspective to the responsible use of AI in diverse care settings. She studied at Stanford University and earned her medical degree from Imperial College London. While practicing in NHS England, she led quality improvement initiatives for complex patient care. During her internal medicine residency at Kaiser Permanente, she spearheaded health AI projects, including piloting the clinic's first AI tool and developing an AI-enabled imaging stewardship system. She received national recognition from the American College of Physicians for her clinical and generative AI research. As Department Technology Lead, she translated physician needs into digital solutions and promoted AI literacy. Dr. Smati presents nationally and internationally on health AI and leads physician education to support responsible AI integration in healthcare.