1,720,984 research outputs found

    [Radiological reasoning and its computer-based simulation. Reasons to use computer-based diagnostic systems developed on shells].

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    Research on the medical applications of artificial intelligence has increased the knowledge of logical and methodological principles of clinical reasoning. Thus, computer-based diagnostic systems are developed on the basis of progress in this field, because thorough knowledge is necessary to obtain efficient simulation. This work was aimed at analyzing the structure of medical and radiological reasoning and at discussing the modalities to simulate it with computer-based diagnostic systems. The diagnostic process includes two steps: data collection and data interpretation; radiological reasoning involves the following 5 steps: procedural, executive, observative, interpretative and communicative. Each of them needs a different approach to simulation, considering, in its development, the different characteristics of each kind of reasoning. The expert system shells on the market are necessary tools to develop expert systems, but they cannot cover the whole of processes taking place during radiological work. Therefore, a particular, radiology-aimed shell should be developed to help the radiologist

    [Three-dimensional ultrasonography. Experience with a non-dedicated system].

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    The application of three-dimensional (3D) reconstructions to US has been recently proposed, but remains strongly limited by the difficulty to produce parallel and equidistant slices and by the obvious lack of method standardization. This work describes our experience with a workstation on the market in producing 3D images from US exams. Reconstruction involved the following steps: acquisition (US examinations of different organs--i.e. carotid artery, parotid gland, kidney, gallbladder, urinary bladder--were recorded on VHS tape; a small, self-built, motor-driven mechanical arm was used to move the probe along the selected axis of the organ: a 486-class computer with a framegrabbing card was used during the digitizing process to produce a set of slices, white were saved in 320 x 256 x 8 bit format), pre-processing and segmentation (we used interactive contrast enhancement as a pre-processing technique, to emphasize contrast between echoic and anechoic structures or between solid structures with a small difference in echogenicity; as a segmentation technique, we used autotracing with a selected seed point; in a small number of images, where the software could not provide an adequate delimitation, we had to operate manually) and rendering. A commercially available software for radiological use (Analyze-Mayo Foundation, USA) was used for processing, segmentation and rendering. The rendered images can be visualized with multiple zoom factors, rotated and cut on any plane, reconstructed from every user-definable point of view. The good results indicate that 3D acquisition and reconstruction will probably change the way to obtain, display and study US findings

    Supplemental Material, SPPS732394_suppl_mat - No Assistance Desired: How Perceptions of Others’ Self-Esteem Affect Support-Seeking

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    Supplemental Material, SPPS732394_suppl_mat for No Assistance Desired: How Perceptions of Others’ Self-Esteem Affect Support-Seeking by Justin V. Cavallo, and Alexandra Hirniak in Social Psychological and Personality Science </p

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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