Decision theory in expert systems and artificial intelligence
International Journal of Approximate Reasoning
Selected Topics in Medical Artificial Intelligence
Selected Topics in Medical Artificial Intelligence
Preparing a medical informatics research grant proposal: general principles
Computers and Biomedical Research
Conceptual models of interactive knowledge acquisition tools
Knowledge Acquisition
Iliad training enhances medical students' diagnostic skills
Journal of Medical Systems
An evaluation of the diagnostic accuracy of Pathfinder
Computers and Biomedical Research
Computer-Assisted Medical Decision Making
Computer-Assisted Medical Decision Making
Some considerations for the implementation of knowledge-based expert systems
ACM SIGART Bulletin
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
From certainty factors to belief networks
Artificial Intelligence in Medicine
European research efforts in medical knowledge-based systems
Artificial Intelligence in Medicine
Computer Methods and Programs in Biomedicine
Decision Support in Multi-Professional Communication
Journal of Medical Systems
Literature mining method RaJoLink for uncovering relations between biomedical concepts
Journal of Biomedical Informatics
Position paper: The coming of age of artificial intelligence in medicine
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Editorial: Lessons learnt from bringing knowledge-based decision support into routine use
Artificial Intelligence in Medicine
Efficiency and safety of chemotherapy plans for children: CATIPO-a nationwide approach
Artificial Intelligence in Medicine
Paper: Information technology factors in transferability of knowledge based systems in medicine
Artificial Intelligence in Medicine
Paper: Fundamentals of clinical methodology: 1. Differential indication
Artificial Intelligence in Medicine
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Artificial intelligence in medicine (AIM) has reached a period of adolescence in which interactions with the outside world are not only natural but mandatory. Although the basic research topics in AIM may be those of artificial intelligence, the applied issues touch more generally on the broad field of medical informatics. To the extent that AIM research is driven by performance goals for biomedicine, AIM is simply one component within a wide range of research and development activities. Furthermore, an adequate appraisal of AIM research requires an understanding of the research motivations, the complexity of the problems, and a suitable definition of the criteria for judging the field's success. Effective fielding of AIM systems will be dependent on the development of integrated environments for communication and computing that allow merging of knowledge-based tools with other patient data-management and information-retrieval applications. The creation of this kind of infrastructure will require vision and resources from leaders who realize that the practice of medicine is inherently an information-management task and that biomedicine must make the same kind of coordinated commitment to computing technologies as have other segments of our society in which the importance of information management is well understood.