by Campion Quinn

'Artificial Intelligence in Medicine' is a comprehensive guide exploring the transformative impact of artificial intelligence (AI) in healthcare. The book delves into the foundational concepts and historical development of AI in medicine, highlighting data collection, preprocessing, and feature extraction crucial for medical applications. It showcases the benefits of AI, such as accurate diagnoses and personalized treatments, while addressing ethical and regulatory considerations.

The book examines the practical aspects of AI implementation in clinical practice and emphasizes the human aspect of AI in healthcare and patient engagement. Readers can gain insights into the role of AI in clinical decision support, collaborative learning, and knowledge sharing. It concludes with a glimpse into the future of AI-driven healthcare, exploring the emerging technologies and trends in the rapidly evolving field of AI in medicine.

Readership: Healthcare professionals including, physicians, physician assistants, nurse practitioners, nurses, medical students, healthcare administrators, chief information officers, pharmaceutical executives, medical researchers, medical content providers, medical educators, policy makers, health informaticians, ethicists, legal experts, industry professionals (Ai technology companies), and AI enthusiasts. Sectors that would be interested in this book include: computer sciences, artificial intelligence, healthcare, academic, pharmaceutical, medical device, business, and healthcare administration and management.