This book contains 26 papers describing research in the do- main of Artificial Intelligence in Medicine. The papers are grouped around the following themes: Methodology, knowledge representation, clinical applications, modelling, uncertain- ty management, knowledge acquisition, and the user perspec- tive. The book gives an overview of the current state of AI in medicine research in Europe. It presents several techni- ques and methods that are likely to play an important role in future applications. In the section on clinical applica- tions not only existing systems are described, but results of evaluation studies are presented as well.

Keynote Addresses

Model-based Image Segmentation: Methods and Applications
Real versus Artificial Expertise: The Development of Cognitive Models of Clinical Reasoning
Methodology
A Developmental Perspective on the Role of Biomedical Knowledge in Medical Problem Solving; Implications for Al
Reconstructing Medical Problem Solving Competence: MACCORD
The Role of Domain Models in Maintaining Consistency of Large Medical Knowledge Bases
Knowledge Representation
A Framework for Causal Reasoning with a Functional Approach
Modelling and Knowledge (Re)presentation within HIOS+
Medical Knowledge Representation and Predictive Data Entry
Clinical Applications
A Connectionist Aid to the Early Diagnosis of Myocardial Infarction
Automation of Medical Audit in General Practice
An Intelligent System for Monitoring Infections in Heart Transplant Recipients
Measuring Performance of a Bayesian Decision Support System for the Diagnosis of Rheumatic Disorders
The Application of Distributed Artificial Intelligence to Medical Diagnosis
Knowledge Representation of Discharge Summaries
Modelling
Dual Teleological Perspectives in Qualitative Circulatory Analysis
Physiological Modelling Using RL
Integrated Use of Causal and Algebraic Physiological Models to Support Anaesthetists in Decision Making
Uncertainty Management
Cytotoxic Chemotherapy Monitoring Using Stochastic Simulation on Graphical Models
A Model-Based Approach to Insulin Adjustment
A Blackboard Control Architecture for Therapy Planning
Knowledge Acquisition
A Comparative Evaluation of Three Approaches to the Acquisition of Medical Knowledge
A Knowledge Acquisition Tool for Medical Diagnostic Knowledge-Based Systems
Machine Learning in Data Rich Domains: Some Experiences from theKAVAS Project
The User Perspective
Patient's and Physician's Opinion about Computer Expert Systems
Designing an Adaptive Interface for EPIAIM
CAP: A Critiquing Expert System for Medical Education.