Artificial Intelligence in Healthcare Systems: Diagnostics, Ethics, and Clinical Decision Support

Abstract

The rapid advancement of artificial intelligence (AI) has brought transformative changes across industries, with healthcare emerging as one of its most impactful domains. This book, Artificial Intelligence in Healthcare Systems: Diagnostics, Ethics, and Clinical Decision Support, aims to provide a comprehensive exploration of how AI technologies are reshaping modern healthcare systems. The motivation behind this book stems from the growing need to bridge the gap between technological innovation and clinical practice. While AI offers unprecedented opportunities in disease diagnosis, treatment planning, and patient care, it also raises critical ethical, legal, and operational challenges that must be addressed responsibly. This book is structured to offer a balanced perspective—combining theoretical foundations with practical insights. It explores key areas such as AI-driven diagnostics, machine learning applications in healthcare, clinical decision support systems (CDSS), and the ethical considerations surrounding data privacy, bias, and accountability. Special emphasis has been placed on making the content accessible to a diverse audience, including students, researchers, healthcare professionals, and policymakers. Each chapter is designed to build a clear understanding of concepts while encouraging critical thinking about the implications of AI in real-world healthcare settings. We hope this book serves as a valuable resource for those seeking to understand and contribute to the evolving intersection of artificial intelligence and healthcare

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