What if the system that knows your body best still doesn't understand who you are?
This provocative, eye-opening book reveals the hidden tension at the heart of today's healthcare revolution: as artificial intelligence makes personalized medicine more precise, it risks making care less human. Behind the promises of faster diagnoses, custom treatments, and optimized outcomes lies a powerful blind spot-our growing dependence on AI in healthcare systems that can predict disease but overlook identity, values, and context.
Perfect for patients, clinicians, technologists, and anyone caught between the hope and hype of digital health systems, this book cuts through the noise. It's not a celebration of smart machines or a dystopian warning-it's a deeply thoughtful exploration of what real care means when machine learning in medicine begins to shape not just our treatments, but our choices, autonomy, and trust.
Inside, readers will uncover:
- How algorithmic bias in healthcare silently shapes diagnostics and outcomes
- Why ethical AI in medicine must go beyond data privacy to consider dignity and meaning
- The emotional toll of being reduced to a "risk profile" in the age of personalized healthcare
- How clinicians are navigating the clash between expertise and automation
- What it will take to restore patient autonomy and AI balance in future care
With insight drawn from philosophy, cultural analysis, and real-world medical cases, this book equips readers to ask better questions about the future of care-and to demand systems that don't just see the body, but also hear the story.
If you're looking for a guide that challenges assumptions, exposes blind spots, and reframes the future of healthcare and machine learning, this is the book you've been waiting for.
