Translating scientific findings from English to other native languages is essential to make sure that they can be integrated into timely and informed dialogue with policymakers and a diverse range of audiences who are affected by the science. Here, we present innovative approaches how to enhance access to scientific knowledge in non-English languages.
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| http://dx.doi.org/10.1016/j.cell.2023.01.036 | DOI Listing |
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Missed Opportunity for Initial Diagnosis in Children With Complex Appendicitis.
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December 2024
From the Department of Pediatric Surgery, Nationwide Children's Hospital, Columbus, OH.
Objectives: Delayed diagnosis of acute appendicitis in children may result in complex appendicitis with appendiceal perforation. Delayed diagnosis can result from missed opportunity for initial diagnosis (MOID) despite medical attention. Studies report MOID of less than 5% in pediatric emergency departments (EDs), but we hypothesized that many MOID occurs outside tertiary care facilities.
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December 2024
Institute of Transport Economics, Gaustadalléen 21, 0349 Oslo, Norway.
Meta-analyses, which present the best source of information on the effectiveness of interventions, are influenced by several biases. One category relates to the convenience of selective inclusion of those primary studies, which are more easily available than others. This availability bias includes bias from excluding the grey literature, bias from excluding non-English literature, and bias from excluding older studies.
View Article and Find Full Text PDFObjective: Functional MRI (fMRI) helps with the identification of eloquent cortex to assist with function preservation in patients who undergo epilepsy surgery. Language and memory tasks can even be used effectively in clinically involved pediatric patients. Most pediatric studies report on English speaking-only cohorts from English-dominant countries, yet languages other than English (LOEs) are increasingly prevalent in countries such as the US.
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J Med Internet Res
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Joint Laboratory of Artificial Intelligence for Critical Care Medicine, Department of Critical Care Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Background: Large language models (LLMs) are increasingly integrated into medical education, with transformative potential for learning and assessment. However, their performance across diverse medical exams globally has remained underexplored.
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