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Interpreter-mediated Dentistry [PDF]
, 2014 Oral Session 3: no. O24OBJECTIVE: Global movements of healthcare professionals and populations increase the complexities of medical interaction, specifically with regard to supporting effective medical interpreting.
Au, TK +6 more
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JoSTrans: The Journal of Specialised Translation, 2009 This paper presents and discusses practical ways in which instructors can effectively combine in-class and online learning activities using Moodle, as exemplified by the healthcare interpreting course offered under the Postgraduate Programme in Community
Maria Tymczyńska
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Remote interpreting in primary care settings: a feasibility trial in Germany
BMC Health Services Research, 2022 Background Global migration trends have led to a more diverse population in health care services everywhere, which in turn has set off a paradigm shift away from medical paternalism toward more patient autonomy. Consequently, physicians need to provide a
Jonas Fiedler +4 more
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Understanding Cardiology Practitioners’ Interpretations of Electrocardiograms: An Eye-Tracking Study
JMIR Human Factors, 2022 BackgroundVisual expertise refers to advanced visual skills demonstrated when performing domain-specific visual tasks. Prior research has emphasized the fact that medical experts rely on such perceptual pattern-recognition skills ...
Mohammed Tahri Sqalli +5 more
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Mindful practice with medical interpreters
Frontiers in Psychology, 2023 IntroductionMedical interpreters experience emotional burdens from the complex demands at work. Because communication access is a social determinant of health, protecting and promoting the health of medical interpreters is critical for ensuring equitable access to care for language-minority patients. The purpose of this study was to pilot a condensed 8-
Gretchen Roman +7 more
openaire +3 more sources
Interpreting SVM for medical images using Quadtree
Multimedia tools and applications, 2020 In this paper, we propose a quadtree based approach to capture the spatial information of medical images for explaining nonlinear SVM prediction. In medical image classification, interpretability becomes important to understand why the adopted model ...
Prashant Shukla +4 more
semanticscholar +1 more source
Data Mining a Medieval Medical Text Reveals Patterns in Ingredient Choice That Reflect Biological Activity against Infectious Agents [PDF]
, 2020 We used established methodologies from network science to identify patterns in medicinal ingredient combinations in a key medieval text, the 15th-century Lylye of Medicynes, focusing on recipes for topical treatments for symptoms of microbial infection ...
Connelly, Erin +3 more
core +2 more sources
Artificial Intelligence for Interpreting Medical Tests
Applied Medical Informatics, 2023 With the rapid development of technology, artificial intelligence (AI) has evolved over the past few years and has become increasingly present in the medical field. Recently, AI technology has been used for appointment scheduling, patient monitoring, and
Marina-Claudia-Cătălina MIRON
doaj
Nature Communications, 2022 Deep learning can automate the interpretation of medical imaging tests. Here, the authors formally assess the interchangeability of deep learning algorithms with expert human measurements for interpreting echocardiographic studies.
Jasper Tromp +9 more
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Attribute Interactions in Medical Data Analysis [PDF]
, 2003 There is much empirical evidence about the success of naive Bayesian classification (NBC) in medical applications of attribute-based machine learning. NBC assumes conditional independence between attributes. In classification, such classifiers sum up the
Bratko, Ivan +4 more
core +2 more sources