PubMed COVID-19 Clinical Care

No abstract

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

The symptomology is overlapping for respiratory infections due to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), influenza A/B viruses, and respiratory syncytial virus (RSV). Accurate detection is essential for proper medical

CONCLUSION: Cervical cancer screening by HPV self-sampling advocates participation of more women especially in rural areas, while accelerating progress towards elimination of cervical cancer.

CONCLUSION: Mobile applications are very flexible technologies that can be customized for each person, patient, and population. During the Covid-19 pandemic, the applications designed due to lack of interaction, lack of time, lack of attention to