Objective To determine if communication disorders (1) increase the risk for common mental and physical health conditions and (2) if risk varies by age of onset (≤25 years (developmental) or >25 years ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Abstract: The electrical impedance tomography (EIT) is a noninvasive imaging technique, which has been widely used in the fields of industrial inspection, medical monitoring, and tactile sensing.
According to an observational study from Tokyo, incidence of acute aortic dissection rose on colder days, while aortic ...
Background: The impact of coronavirus disease 2019 (COVID-19) on ischemic stroke outcomes remains uncertain, particularly in multicenter Middle Eastern cohorts. This study aimed to assess ...
Abstract: Deep learning models have the potential to improve the accuracy and speed of medical microwave imaging. However, their performance often suffers due to a lack of high-quality data.
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