Artificial Intelligence in Medical Practice
暫譯: 醫療實務中的人工智慧

Medicine is standing at the edge of a transformation as profound as the discovery of antibiotics or the invention of medical imaging. Artificial intelligence that was once confined to research labs and science fiction is now reshaping how diseases are diagnosed, treatments are chosen, surgeries are performed, and care is delivered across the globe.

Artificial Intelligence in Medical Practice: The Present and the Possible is the definitive guide to this moment.

By blending clinical insight, real-world case studies, and cutting-edge technological analysis, this book takes readers inside the algorithms that are quietly, and sometimes controversially, changing healthcare. From deep learning systems that rival specialists in medical imaging to generative AI that can converse fluently about complex diagnoses, this book demystifies how AI works, where it succeeds, and where it falls short.

This is not a book about technology alone. It is about clinicians confronting burnout, and patients navigating fragmented systems. It is about health systems struggling with rising costs and aging populations, while policymakers attempt to regulate tools that evolve faster than legislation can keep pace. With clarity and balance, the book confronts the ethical tensions at the heart of medical AI, while offering a pragmatic set of considerations for responsible adoption.

Spanning data science fundamentals, medical imaging, genomics, surgery, public health, and real-world implementation, Artificial Intelligence in Medical Practice speaks to physicians, trainees, data scientists, health executives, and anyone seeking to understand how medicine is being rebuilt in real time. Through first hand testimonials from today's leaders in American medical practice, this book aims to paint an honest picture of medical AI today and its future potential.