Neural Networks and Artificial Intelligence for Biomedical Engineering

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Hudson (family and community medicine, U. of California) and Cohen (radiology, U. of California) cover a range of topics relevant to computer-assisted techniques for biomedical decision making. Theoretical and practical approaches to the development of neural networks are presented, followed by algorithmic development and application to specific problems. Artificial intelligence applications like knowledge-based acquisition and representation, knowledge-based systems, and searching strategies are looked at and other methodologies, including genetic algorithms, probabilistic systems, fuzzy systems, and hybrid systems are explored.