Cardiovascular imaging is an essential component of the diagnostic investigations in clinical cardiology. Imaging is ALSO a major cost factor in medicine; thus, for selecting an imaging technique, an individual, informed decision must be based on accessibility, safety, diagnostic accuracy, cost, and its added value to therapeutic or preventive decision-making. Current imaging techniques use a l...

introduction: good radiographs are required for endodontic therapy and because some patient’s are intolerant to intraoral films and/or sensors, this can cause complications in endodontic treatment. extraoral film placement can be used to obtain clinically diagnostic and working radiographs. materials and methods: the no. 2 receptor was placed against the model ’ s cheek and centered in the mola...

Diagnostic error prevention is a long-established but specialized topic in clinical and psychological research. In this paper, we contribute to the field by exploring diagnostic decision-making via modeling physicians’ utterances of medical concepts during image-based diagnoses. We conduct experiments to collect verbal narratives from dermatologists while they are examining and describing derma...

Applying machine learning in the health care domain has shown promising results in recent years. Interpretable outputs from learning algorithms are desirable for decision making by health care personnel. In this work, we explore the possibility of utilizing causal relationships to refine diagnostic prediction. We focus on the task of diagnostic prediction using discomfort drawings, and explore ...

Clinical guidelines often make recommendations on the use of diagnostic tests. Compared with sensitivity and specificity, the use of preand post-test probabilities allows a more explicit and rational selection and interpretation of diagnostic tests. Ideally, clinical guidelines relating to diagnosis should routinely incorporate this information to enhance individualised decision making. We repo...

acute myocardial infarction is the most important reason of mortality in iran. more than half of these deaths occur without the patient even reaching to a hospital. there is the evidence that patients with better knowledge of the symptoms of mi will seek help earlier. the purpose of this study is to determine how well a predictive model will perform based solely upon patient-reportable clinical...

This paper proposes an expert system called VIBEX (VIBration EXpert) to aid plant operators in diagnosing the cause of abnormal vibration for rotating machinery. In order to automatize the diagnosis, a decision table based on the cause-symptom matrix is used as a probabilistic method for diagnosing abnormal vibration. Also a decision tree is used as the acquisition of structured knowledge in th...

This paper describes how psychological research can contribute to the requirements engineering, the design and usefulness of a Diagnostic Decision Support System (DDSS) intended to support pediatric residents’ diagnostic decisions. Research on cognitive biases in Bayesian decision tasks is discussed. The design of the DDSS is briefly outlined, and a formative usefulness test is reported. Under ...

Clinical guidelines often make recommendations on the use of diagnostic tests. Compared with sensitivity and specificity, the use of pre- and post-test probabilities allows a more explicit and rational selection and interpretation of diagnostic tests. Ideally, clinical guidelines relating to diagnosis should routinely incorporate this information to enhance individualised decision making. We re...

BACKGROUND An extensive retrospective study spanning several seasons was undertaken to evaluate the diagnostic performance of the BD rapid influenza diagnostic test (RIDT) in comparison with the RT-PCR assay. METHODS A total of 2,179 respiratory samples were tested in parallel by in-house RT-PCR and the RIDT. During the 2003-2004, 2006-2007, 2007-2008, and 2008-2009 (n=1671) seasons, the BD D...