AIME 91

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.

Contenu

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 the KAVAS 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.