Ultrasonic Flaw Classification — An Expert System Approach

An expert system, FLEX, for classifying isolated flaws as either crack-like or volumetric has been under development at the Center for NDE, Iowa State University. Previously, we have described the overall design of the system [1], which is composed of two cooperating systems FEAP and FLAP. The feature processing (FEAP) system is designed to extract fundamental features in the ultrasonic signals that are indicative of cracks or volumetric flaws. The flaw processing (FLAP) system then uses the existence (or non-existence) of these features to classify the flaw. FLAP is structured as a classical rule-based expert system and has also been described previously [2]. Here, we will present the major elements of FEAP and the design philosophy that has gone into its construction. A more detailed account of FEAP is given in the thesis of Christensen [3].</p

Biomedical informatics and translational medicine

Biomedical informatics involves a core set of methodologies that can provide a foundation for crossing the "translational barriers" associated with translational medicine. To this end, the fundamental aspects of biomedical informatics (e.g., bioinformatics, imaging informatics, clinical informatics, and public health informatics) may be essential in helping improve the ability to bring basic research findings to the bedside, evaluate the efficacy of interventions across communities, and enable the assessment of the eventual impact of translational medicine innovations on health policies. Here, a brief description is provided for a selection of key biomedical informatics topics (Decision Support, Natural Language Processing, Standards, Information Retrieval, and Electronic Health Records) and their relevance to translational medicine. Based on contributions and advancements in each of these topic areas, the article proposes that biomedical informatics practitioners ("biomedical informaticians") can be essential members of translational medicine teams