Principles and Practices of Artificial Intelligence in Medicine: A Comprehensive Guide to Clinical Integration, Ethical Frameworks, Algorithmic Innovation, and Health Transformation - Softcover
Synopsis
Artificial intelligence is no longer a future concept in medicine—it is already shaping diagnoses, workflows, and clinical decisions. The question is no longer if AI belongs in healthcare, but how it can be used safely, ethically, and effectively.
Principles and Practices of Artificial Intelligence in Medicine is a definitive guide for clinicians, researchers, health-system leaders, and policymakers navigating this transformation. Moving beyond hype and surface-level explanations, this book delivers a rigorous, clinically grounded exploration of how AI systems are built, validated, deployed, and governed in real-world healthcare settings.
From the early origins of medical AI to today’s deep learning, generative models, and multimodal systems, the book explains not just what these technologies can do—but where they fail, why risks emerge, and how harm can be prevented. Readers gain practical insight into diagnostic decision support, medical imaging, clinical language processing, predictive analytics, remote monitoring, hospital operations, and emerging AI-driven care models.
What truly sets this work apart is its unwavering focus on clinical responsibility. Ethical frameworks, bias mitigation, regulatory oversight, data governance, and legal accountability are woven throughout—not treated as afterthoughts. The book emphasizes evidence-based adoption, transparency, human oversight, and patient safety as non-negotiable standards for AI integration.
Written with clarity, authority, and clinical realism, this is not a book that promises automation will replace professionals. Instead, it equips readers to evaluate AI critically, ask the right questions, and lead implementation with confidence and integrity.
If you work in medicine—or shape the systems that support it—this book is essential reading. Equip yourself to make informed decisions, protect patient trust, and help define the future of responsible, human-centered AI in healthcare.
"synopsis" may belong to another edition of this title.
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Paperback. Condition: new. Paperback. Artificial intelligence is no longer a future concept in medicine-it is already shaping diagnoses, workflows, and clinical decisions. The question is no longer if AI belongs in healthcare, but how it can be used safely, ethically, and effectively.Principles and Practices of Artificial Intelligence in Medicine is a definitive guide for clinicians, researchers, health-system leaders, and policymakers navigating this transformation. Moving beyond hype and surface-level explanations, this book delivers a rigorous, clinically grounded exploration of how AI systems are built, validated, deployed, and governed in real-world healthcare settings.From the early origins of medical AI to today's deep learning, generative models, and multimodal systems, the book explains not just what these technologies can do-but where they fail, why risks emerge, and how harm can be prevented. Readers gain practical insight into diagnostic decision support, medical imaging, clinical language processing, predictive analytics, remote monitoring, hospital operations, and emerging AI-driven care models.What truly sets this work apart is its unwavering focus on clinical responsibility. Ethical frameworks, bias mitigation, regulatory oversight, data governance, and legal accountability are woven throughout-not treated as afterthoughts. The book emphasizes evidence-based adoption, transparency, human oversight, and patient safety as non-negotiable standards for AI integration.Written with clarity, authority, and clinical realism, this is not a book that promises automation will replace professionals. Instead, it equips readers to evaluate AI critically, ask the right questions, and lead implementation with confidence and integrity.If you work in medicine-or shape the systems that support it-this book is essential reading. Equip yourself to make informed decisions, protect patient trust, and help define the future of responsible, human-centered AI in healthcare. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798243147064
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Paperback. Condition: new. Paperback. Artificial intelligence is no longer a future concept in medicine-it is already shaping diagnoses, workflows, and clinical decisions. The question is no longer if AI belongs in healthcare, but how it can be used safely, ethically, and effectively.Principles and Practices of Artificial Intelligence in Medicine is a definitive guide for clinicians, researchers, health-system leaders, and policymakers navigating this transformation. Moving beyond hype and surface-level explanations, this book delivers a rigorous, clinically grounded exploration of how AI systems are built, validated, deployed, and governed in real-world healthcare settings.From the early origins of medical AI to today's deep learning, generative models, and multimodal systems, the book explains not just what these technologies can do-but where they fail, why risks emerge, and how harm can be prevented. Readers gain practical insight into diagnostic decision support, medical imaging, clinical language processing, predictive analytics, remote monitoring, hospital operations, and emerging AI-driven care models.What truly sets this work apart is its unwavering focus on clinical responsibility. Ethical frameworks, bias mitigation, regulatory oversight, data governance, and legal accountability are woven throughout-not treated as afterthoughts. The book emphasizes evidence-based adoption, transparency, human oversight, and patient safety as non-negotiable standards for AI integration.Written with clarity, authority, and clinical realism, this is not a book that promises automation will replace professionals. Instead, it equips readers to evaluate AI critically, ask the right questions, and lead implementation with confidence and integrity.If you work in medicine-or shape the systems that support it-this book is essential reading. Equip yourself to make informed decisions, protect patient trust, and help define the future of responsible, human-centered AI in healthcare. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798243147064
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