Artificial Intelligence in Medicine 1st Edition

Artificial Intelligence in Medicine, 1st Edition by Joseph JY Sung and Cameron Stewart is a timely, authoritative guide for clinicians, researchers, and healthcare leaders navigating the fast-evolving intersection of AI and patient care. This practical volume captures cutting-edge advances in machine learning, medical imaging, predictive analytics, and clinical decision support—explained with clarity for practitioners across specialties.

Discover how AI tools are transforming diagnostics, workflow efficiency, and personalized medicine. The authors balance technical insight with clinical perspective, making complex concepts accessible without oversimplifying. Case studies and real-world examples illuminate applications in radiology, pathology, cardiology, and population health, showing how algorithms can augment clinician judgement and improve outcomes across hospitals, clinics, and academic centers worldwide.

Designed for an international audience—including readers from Asia-Pacific, Europe, and North America—this edition emphasizes scalable solutions that respect local practice patterns and regulatory frameworks. It addresses data governance, ethical considerations, and implementation challenges, providing a roadmap for safely integrating AI into everyday practice and institutional strategy.

Whether you’re a physician exploring AI-driven diagnostics, an administrator planning digital transformation, or a student preparing for a career in health tech, this book equips you with the knowledge to evaluate tools critically and adopt evidence-based innovations. Clear explanations, practical guidance, and a forward-looking perspective make it essential reading for anyone shaping the future of healthcare.

Stay at the forefront of medical innovation—add Artificial Intelligence in Medicine, 1st Edition to your professional library today and begin applying AI insights that enhance care delivery and patient outcomes.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.