Artificial Intelligence in Medicine

Keynote Lectures.- From Clinical Guidelines to Decision Support.- Artificial Intelligence for Building Learning Health Care Organizations.- Timing Is Everything: Temporal Reasoning and Temporal Data Maintenance in Medicine.- Machine Learning for Data Mining in Medicine.- Guidelines and Protocols.- Guidelines-Based Workflow Systems.- Enhancing Clinical Practice Guideline Compliance by Involving Physicians in the Decision Process.- Application of Therapeutic Protocols: A Tool to Manage Medical Knowledge.- Decision Support Systems, Knowledge-Based Systems, Cooperative Systems.- From Description to Decision: Towards a Decision Support Training System for MR Radiology of the Brain.- Internet-Based Decision-Support Server for Acute Abdominal Pain.- Multi-modal Reasoning in Diabetic Patient Management.- Experiences with Case-Based Reasoning Methods and Prototypes for Medical Knowledge-Based Systems.- Exploting Social Reasoning of Open Multi-agent Systems to Enahnce Cooperation in Hospitals.- Influence Diagrams for Neonatal Jaundice Management.- Electronic Drug Prescribing and Administration - Bedside Medical Decision Making.- Neonatal Ventilation Tutor (VIE-NVT), a Teaching Program for the Mechanical Ventilation of Newborn Infants.- A Life-Cycle Based Authorisation Expert Database System.- A Decision-Support System for the Identification, Staging, and Functional Evaluation of Liver Diseases (HEPASCORE).- Model-Based Systems.- A Model-Based Approach for Learning to Identify Cardiac Arrhythmias.- A Model-Based System for Pacemaker Reprogramming.- Integrating Deep Biomedical Models into Medical Decision Support Systems: An Interval Constraint Approach.- Neural Networks, Causal Probabilistic Networks.- A Decision Theoretic Approach to Empirical Treatment of Bacteraemia Originatingfrom the Urinary Tract.- An ECG Ischemic Detection System Based on Self-Organizing Maps and a Sigmoid Function Pre-processing Stage.- Neural Network Recognition of Otoneurological Vertigo Diseases with Comparison of Some Other Classification Methods.- A Comparison of Linear and Non-linear Classifiers for the Detection of Coronary Artery Disease in Stress-ECG.- The Case-Based Neural Network Model and Its Use in Medical Expert Systems.- Knowledge Representation.- A Medical Ontology Library That Integrates the UMLS Metathesaurus(TM).- The Use of the UMLS Knowledge Sources for the Design of a Domain Specific Ontology: A Practical Experience in Blood Transfusion.- Representing Knowledge Levels in Clinical Guidelines.- Temporal Reasoning.- Intelligent Analysis of Clinical Time Series by Combining Structural Filtering and Temporal Abstractions.- Knowledge-Based Event Detection in Complex Time Series Data.- Abstracting Steady Qualitative Descriptions over Time from Noisy, High-Frequency Data.- Visualization Techniques for Time-Oriented, Skeletal Plans in Medical Therapy Planning.- Visualizing Temporal Clinical Data on the WWW.- Machine Learning.- Machine Learning in Stepwise Diagnostic Process.- Refinement of Neuro-psychological Tests for Dementia Screening in a Cross Cultural Population Using Machine Learning.- The Analysis of Head Injury Data Using Decision Tree Techniques.- Machine Learning for Survival Analysis: A Case Study on Recurrence of Prostate Cancer.- ICU Patient State Characterization Using Machine Learning in a Time Series Framework.- Diagnostic Rules of Increased Reliability for Critical Medical Applications.- Machine Learning Inspired Approaches to Combine Standard Medical Measures at an Intensive Care Unit?.- A Screening Technique for Prostate Cancer by HairChemical Analysis and Artificial Intelligence.- Natural Language Processing.- A Conversational Model for Health Promotion on the World Wide Web.- Types of Knowledge Required to Personalise Smoking Cessation Letters.- Small Is Beautiful -- Compact Semantics for Medical Language Processing.- Speech Driven Natural Language Understanding for Hands-Busy Recording of Clinical Information.- Automatic Acquisition of Morphological Knowledge for Medical Language Processing.- Image Processing and Computer Aided Design.- A Multi-agent System for MRI Brain Segmentation.- Modelling Blood Vessels of the Eye with Parametric L-Systems Using Evolutionary Algorithms.- Animating Medical and Safety Knowledge.- Active Shape Models for Customised Prosthesis Design.