• List of contributors; 1. Introduction Richard Dybowski and Vanya Gant; Part I. Applications: 2. Artificial neural networks in laboratory medicine Simon S. Cross; 3. Using artificial neural networks to screen cervical smears: how new technology enhances health care Mathilde E. Boon and Lambrecht P. Kok; 4. Neural network analysis of sleep disorders Lionel Tarassenko, Mayela Zamora and James Pardey; 5. Artificial neural networks for neonatal intensive care Emma A. Braithwaite, Jimmy Dripps, Andrew J. Lyon and Alan Murray; 6. Artificial neural networks in urology: applications, feature extraction and user implementations Craig S. Niederberger and Richard M. Golden; 7. Artificial neural networks as a tool for whole organism fingerprinting in bacterial taxonomy Royston Goodacre; Part II. Prospects: 8. Recent advances in EEG signal analysis and classification Charles W. Anderson and David A. Peterson; 9. Adaptive resonance theory: a foundation for 'apprentice' systems in clinical decision support? Robert F. Harrison, Simon S. Cross, R. Lee Kennedy, Chee Peng Lim and Joseph Downs; 10. Evolving artificial neural networks V. William Porto and David B. Fogel; Part III. Theory: 11. Neural networks as statistical methods in survival analysis Brian D. Ripley and Ruth M. Ripley; 12. A review of techniques for extracting rules from trained artificial neural networks Robert Andrews, Alan B. Tickle and Joachim Diederich; 13. Confidence intervals and prediction intervals for feedforward neural networks Richard Dybowski and Stephen J. Roberts; Part IV. Ethics and Clinical Prospects: 14. Artificial neural networks: practical considerations for clinical application Vanya Gant, Susan Rodway and Jeremy Wyatt; Index.

'… a useful and thought-provoking work which extends thoughts about brain function to deal with everyday decision-making.' Doctors.net