PubMed COVID-19 Clinical Care

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CONCLUSION: This study adds to our understanding of key topics in social science research on COVID-19. The automated literature analysis presented is particularly useful for librarians and information specialists keen to explore the role and

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The identification of viruses from negative staining transmission electron microscopy (TEM) images has mainly depended on experienced experts. Recent advances in artificial intelligence have enabled virus recognition using deep learning techniques

CONCLUSIONS: CRTAT, a point-of-care data entry tool, more accurately categorized patients into hospitalization tiers, particularly those hospitalized, underscored by CRTAT's ability to identify critical factors in patient history and clinical status

The literature has extensively documented how Covid-19 affects educational inequality, but it remains unclear whether such an effect persists after school reopening. This paper attempts to explore this issue by investigating the search gap for

CONCLUSIONS AND RELEVANCE: The findings of this longitudinal cohort study suggest that telemedicine is associated with greater physician time spent working in the EHR, both during and outside of scheduled hours, mostly documenting visits and not

To understand psychological distress during COVID-19, we need to ensure that the same construct is measured over time and investigate how much of the variance in distress is attributable to chronic time-invariant variance compared to transient time

CONCLUSION: The patient and public involvement principles employed, including meeting composition and chairing, and flexibility to follow carers' agendas, appeared to facilitate the evolution from consultation to co-production of carer