Arvin Agah – författare

This new edition examines the intersection of artificial intelligence and medicine, showcasing how AI techniques assist medical professionals by making healthcare more accurate, less expensive, more available, and more efficient. The book presents a holistic perspective on AI in medicine, from foundational principles to advanced applications.Medical Applications of Artificial Intelligence, Second Edition delivers up-to-date coverage of diverse AI applications across healthcare domains including disease detection and diagnosis, medical imaging, surgery, drug development, healthcare administration, electronic health records, personalized medicine, telehealth, and patient monitoring. This edition provides updated coverage of AI applications in medicine, reflecting the significant advancements that have occurred in recent years. It incorporates the latest research and developments in clinical decision support systems, medical imaging analysis, and precision medicine approaches that have been further developed since the previous edition was published. It explains new AI techniques such as support vector machines, deep learning, and decision trees in accessible language, while providing extensive references for readers seeking deeper knowledge. It provides a broad international perspective on medical applications of artificial intelligence and emphasizes that these systems are designed to assist medical professionals—not replace them. This version also includes significantly expanded information on available resources on scientific journals, national and international conferences, and academic programs of study that are focused on applications of artificial intelligence to medicine.This book is intended for those with expertise in artificial intelligence who are interested in applying their knowledge to medical domains, and to those with expertise in medicine who are interested in enhancing their medical efforts using AI.

Enhanced, more reliable, and better understood than in the past, artificial intelligence (AI) systems can make providing healthcare more accurate, affordable, accessible, consistent, and efficient. However, AI technologies have not been as well integrated into medicine as predicted. In order to succeed, medical and computational scientists must develop hybrid systems that can effectively and efficiently integrate the experience of medical care professionals with capabilities of AI systems. After providing a general overview of artificial intelligence concepts, tools, and techniques, Medical Applications of Artificial Intelligence reviews the research, focusing on state-of-the-art projects in the field. The book captures the breadth and depth of the medical applications of artificial intelligence, exploring new developments and persistent challenges.

Enhanced, more reliable, and better understood than in the past, artificial intelligence (AI) systems can make providing healthcare more accurate, affordable, accessible, consistent, and efficient. However, AI technologies have not been as well integrated into medicine as predicted. In order to succeed, medical and computational scientists must develop hybrid systems that can effectively and efficiently integrate the experience of medical care professionals with capabilities of AI systems. After providing a general overview of artificial intelligence concepts, tools, and techniques, Medical Applications of Artificial Intelligence reviews the research, focusing on state-of-the-art projects in the field. The book captures the breadth and depth of the medical applications of artificial intelligence, exploring new developments and persistent challenges.