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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:
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.
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