Abstract
It is almost five years since the publication of a string of articles in the influential medical journal The Lancet [1]–[5] introduced the burgeoning technology that is artificial neural networks. In the intervening years, biomedical systems, spurred on by the promise of generic algorithms for pattern recognition, have generated patents and commercial products, answering in the affirmative Shortliffe’s question whether Artificial Intelligence would come of age in the ‘90s [6], albeit from an unexpected direction, given the earlier dominance of propositional logic and expert systems. This book captures key technological developments in neural network methods, in tutorial form, and samples the wide range of medical applications currently being explored, including four chapters discussing patented or commercial products, and others presenting systems in routine clinical use.
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Lisboa, P.J.G., Ifeachor, E.C., Szczepaniak, P.S. (2000). Introduction. In: Lisboa, P.J.G., Ifeachor, E.C., Szczepaniak, P.S. (eds) Artificial Neural Networks in Biomedicine. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0487-2_1
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DOI: https://doi.org/10.1007/978-1-4471-0487-2_1
Publisher Name: Springer, London
Print ISBN: 978-1-85233-005-7
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