16,521 research outputs found

    How doctors diagnose diseases and prescribe treatments: an fMRI study of diagnostic salience

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    Understanding the brain mechanisms involved in diagnostic reasoning may contribute to the development of methods that reduce errors in medical practice. In this study we identified similar brain systems for diagnosing diseases, prescribing treatments, and naming animals and objects using written information as stimuli. Employing time resolved modeling of blood oxygen level dependent (BOLD) responses enabled time resolved (400 milliseconds epochs) analyses. With this approach it was possible to study neural processes during successive stages of decision making. Our results showed that highly diagnostic information, reducing uncertainty about the diagnosis, decreased monitoring activity in the frontoparietal attentional network and may contribute to premature diagnostic closure, an important cause of diagnostic errors. We observed an unexpected and remarkable switch of BOLD activity within a right lateralized set of brain regions related to awareness and auditory monitoring at the point of responding. We propose that this neurophysiological response is the neural substrate of awareness of one’s own (verbal) response. Our results highlight the intimate relation between attentional mechanisms, uncertainty, and decision making and may assist the advance of approaches to prevent premature diagnostic closure

    Diagnostics in the Extendable Integrated Support Environment (EISE)

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    Extendable Integrated Support Environment (EISE) is a real-time computer network consisting of commercially available hardware and software components to support systems level integration, modifications, and enhancement to weapons systems. The EISE approach offers substantial potential savings by eliminating unique support environments in favor of sharing common modules for the support of operational weapon systems. An expert system is being developed that will help support diagnosing faults in this network. This is a multi-level, multi-expert diagnostic system that uses experiential knowledge relating symptoms to faults and also reasons from structural and functional models of the underlying physical model when experiential reasoning is inadequate. The individual expert systems are orchestrated by a supervisory reasoning controller, a meta-level reasoner which plans the sequence of reasoning steps to solve the given specific problem. The overall system, termed the Diagnostic Executive, accesses systems level performance checks and error reports, and issues remote test procedures to formulate and confirm fault hypotheses

    The Galileo PPS expert monitoring and diagnostic prototype

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    The Galileo PPS Expert Monitoring Module (EMM) is a prototype system implemented on the SUN workstation that will demonstrate a knowledge-based approach to monitoring and diagnosis for the Galileo spacecraft Power/Pyro subsystems. The prototype will simulate an analysis module functioning within the SFOC Engineering Analysis Subsystem Environment (EASE). This document describes the implementation of a prototype EMM for the Galileo spacecraft Power Pyro Subsystem. Section 2 of this document provides an overview of the issues in monitoring and diagnosis and comparison between traditional and knowledge-based solutions to this problem. Section 3 describes various tradeoffs which must be considered when designing a knowledge-based approach to monitoring and diagnosis, and section 4 discusses how these issues were resolved in constructing the prototype. Section 5 presents conclusions and recommendations for constructing a full-scale demonstration of the EMM. A Glossary provides definitions of terms used in this text

    In defense of compilation: A response to Davis' form and content in model-based reasoning

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    In a recent paper entitled 'Form and Content in Model Based Reasoning', Randy Davis argues that model based reasoning research aimed at compiling task specific rules from underlying device models is mislabeled, misguided, and diversionary. Some of Davis' claims are examined and his basic conclusions are challenged about the value of compilation research to the model based reasoning community. In particular, Davis' claim is refuted that model based reasoning is exempt from the efficiency benefits provided by knowledge compilation techniques. In addition, several misconceptions are clarified about the role of representational form in compilation. It is concluded that techniques have the potential to make a substantial contribution to solving tractability problems in model based reasoning

    Aggressive and violent behavior - the result of malfunction in the neural circuit regulating emotion

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    Mental illness is currently diagnosed using subjective observational criteria as outlined in the 5th Edition of the Diagnostic and Statistical Manual (DSM-V), yet many have argued for the medicalization of the diagnosis of mental illness by incorporating biomedical and neuroanatomical criteria. The following literature review explores the neural circuit responsible for regulating emotion, as well as the structural and chemical alterations to this circuit that have been shown to correlate with aggressive and/or violent behaviors characteristic of certain types of mental illness. The neural circuit regulating emotion is comprised of the prefrontal cortex, the subcortical limbic system, the dopaminergic pathway, the serotonergic pathway, catecholaminergic neurons, and GABAergic neurons. Alterations to these structures or chemicals have been associated with major depressive disorder, suicidal ideations, substance use disorders, schizophrenia, and personality disorders. Medicalization of mental illness has the potential to serve two purposes – first, to standardize diagnosis and treatment of mental illness, and second, to decrease the stigma often associated with mental illness – and to improve outcomes for those patients living with mental illness
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