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 AI and emphasizes that these systems are designed to assist medical professionals—not replace them. This version also includes significantly expanded information on available resources in scientific journals, national and international conferences, and academic programs of study that are focused on applications of AI to medicine.
This book is intended for those with expertise in AI 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.
Dr Arvin Agah is Charles E. & Mary J. Spahr Professor of Electrical Engineering and Computer Science at the University of Kansas, which he joined in 1997. He served as the Dean of Engineering from 2018 to 2024 and Associate Dean for Research and Graduate Programs from 2012 to 2018. His research interests include medical applications of artificial intelligence (AI), applied AI, and autonomous mobile robots. He has received multiple honors for his teaching excellence, including two university-wide awards.