E-grāmata: Medical Applications of Artificial Intelligence

"Artificial Intelligence techniques have been successfully applied to the medical domain, and AI systems are being integrated into healthcare. AI systems can make providing healthcare more accurate, less expensive, more available, and more efficient. They are consistent and can be mass produced. This book includes a number of contributed chapters that detail the most recent advances and research efforts by world-wide experts in the field. The chapters follow the organization of the taxonomy; and offer a clear connection between chapters"--Provided by publisher.

After an overview of artificial intelligence, contributors from both technical and medical fields describe projects that apply artificial intelligence it the medical domain. The topics include prominent machine learning and data mining methods with example applications to the medical domain, cancer prediction methodology using an enhanced artificial neural network-based classifier and dominant gene expression, a penalized fuzzy clustering algorithm with its application in magnetic resonance image segmentation, seven discretization techniques used for rule induction from data on the lazy eye vision disorder, and applying artificial intelligence in minimally invasive surgery and artificial palpitation. Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)

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.