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Artificial Intelligence in Healthcare: Understanding AI-Powered Diagnosis, Medical Innovation, and the Future of Patient Care - Softcover

Morgan, Dr. Ethan

 
9798170158126: Artificial Intelligence in Healthcare: Understanding AI-Powered Diagnosis, Medical Innovation, and the Future of Patient Care

Synopsis

Artificial intelligence is changing the way healthcare is understood, delivered, and developed.

From medical imaging and disease detection to drug discovery, personalized medicine, robotics, digital health, and generative AI, intelligent technologies are becoming part of an increasingly complex healthcare system. Understanding these technologies is no longer limited to computer scientists. Healthcare professionals, researchers, students, administrators, and technology leaders all need a clear understanding of what AI can do, where it falls short, and how it may reshape medicine in the years ahead.

Artificial Intelligence in Healthcare provides a comprehensive examination of this rapidly developing field, connecting the foundations of artificial intelligence with its practical applications across modern medicine.

Inside this book, you will explore:

  • How artificial intelligence, machine learning, deep learning, and neural networks work
  • How healthcare data provides the foundation for intelligent medical systems
  • The use of AI in diagnosis, disease prediction, and clinical decision-making
  • How artificial intelligence is transforming radiology, medical imaging, and digital pathology
  • The growing role of AI in personalized and precision medicine
  • How AI is accelerating drug discovery and biomedical research
  • The development of smart hospitals and intelligent healthcare systems
  • Virtual assistants, digital health platforms, and remote patient support
  • Surgical robotics, rehabilitation technology, and medical automation
  • Wearable devices and continuous health monitoring
  • Generative AI and large language models in healthcare
  • Machine learning approaches used in medical applications
  • Digital twins and predictive healthcare
  • Patient privacy, algorithmic bias, transparency, and ethical responsibility
  • The changing relationship between healthcare professionals and intelligent systems
  • Regulation, governance, safety, and responsible AI adoption
  • The emerging technologies that may define the next decade of medicine

The book also examines an important question: What should the future relationship between humans and intelligent medical systems look like?

AI may improve the speed of analysis, identify patterns that are difficult to detect manually, assist with complex research, and support healthcare professionals in making informed decisions. At the same time, it introduces serious questions about privacy, accountability, bias, safety, regulation, and the role of human judgment.

Rather than presenting artificial intelligence as a perfect solution, this book examines both its possibilities and its limitations.

Whether you are a healthcare professional seeking to understand emerging technologies, a student preparing for the future of medicine, a researcher exploring the intersection of AI and healthcare, or a technology professional interested in medical applications, this book provides a structured foundation for understanding one of the most important technological developments in modern healthcare.

The future of medicine will not be defined by technology alone. It will be defined by how intelligently, responsibly, and humanely that technology is used.

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