Artificial Intelligence-Based Detection of Pneumonia in Chest Radiographs.

Artificial intelligence is gaining increasing relevance in the field of radiology. This study retrospectively evaluates how a commercially available deep learning algorithm can detect pneumonia in chest radiographs (CR) in emergency departments. The chest radiographs of 948 patients with dyspnea between 3 February and 8 May 2020, as well as 15 October and 15 December 2020, were used.

Performance of antigen testing for diagnosis of COVID-19: a direct comparison of a lateral flow device to nucleic acid amplification based tests.

Objectives: The gold standard for diagnosing an infection with SARS-CoV-2 is detection of viral RNA by nucleic acid amplification techniques. Test capacities, however, are limited. Therefore, numerous easy-to-use rapid antigen tests based on lateral flow technology have been developed.

The voice of COVID-19: Acoustic correlates of infection in sustained vowels.

COVID-19 is a global health crisis that has been affecting our daily lives throughout the past year. The symptomatology of COVID-19 is heterogeneous with a severity continuum. Many symptoms are related to pathological changes in the vocal system, leading to the assumption that COVID-19 may also affect voice production.

[Health literacy and nonurgent emergency department visits].

Background: The number of patients with nonurgent health conditions using emergency departments (ED) is growing steadily. It is unclear however whether this is associated with limited health literacy of patients.

Objectives: This study aims to explore the health literacy of patients with nonurgent conditions in an ED, compare it with the health literacy of the general population and identify relationships between health literacy and patients' views on emergency care.