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.
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Zustand: new. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9789371770439
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 careWith 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. Bestandsnummer des Verkäufers 9789371770439
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Taschenbuch. Zustand: Neu. Beyond Precision | How AI Personalizes Your Care Without Understanding Who You Are | Elias Wren | Taschenbuch | Englisch | 2025 | Mindful Pages | EAN 9789371770439 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 134246822
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