PubMed COVID-19 Clinical Care

CONCLUSION: Virtual rehabilitation is generally accepted by all stakeholders as a supplement to in-person services. Addressing the unique barriers faced by rural clinicians and stroke survivors is necessary to provide successful virtual

Daily routines, including in-person school and extracurricular activities, are important for maintaining healthy physical activity and sleep habits in children. The COVID-19 pandemic significantly disrupted daily routines as in-person school and

The microbes in the gut are crucial for maintaining the body's immune system and overall gut health. However, it is not fully understood how an unstable gut environment can lead to more severe cases of SARS-CoV-2 infection. The gut microbiota also

CONCLUSION: Although this study was not designed to establish causality, positive associations were observed between Joint Commission accreditation and CLABSI and CAUTI measures, and Joint Commission-accredited LTCHs attained more consistent high

The COVID-19 pandemic led to an unprecedented demand for projections of disease burden and healthcare utilization under scenarios ranging from unmitigated spread to strict social distancing policies. In response, members of the Johns Hopkins

CONCLUSIONS: The decline in children diagnosed per year since 2017 is possibly due to lower HIV prevalence, lack of HIV tests, and the SARS-CoV-2 epidemic. Children with HIV-2 were twice as old as HIV-1 infected when diagnosed, which suggests a

Lessons learnt from the COVID-19 pandemic have provided an opportunity to intensify efforts towards the health-related Sustainable Development Goals (SDGs). Innovations in digital health and advances in science witnessed during the pandemic can be

CONCLUSIONS: Practitioners and policymakers must consider the severe violation of human rights when developing psychosocial programs to intervene in the COVID-19 crisis.

CONCLUSIONS: Recognition of an EBI's benefits and program champions are important for supporting initial uptake. The ability to plan adaptations amid rapid contextual changes has potential advantages for sustainability and equitable delivery. Systems

In this article, we propose an AI-based low-risk visualization framework for lung health monitoring using low-resolution ultra-low-dose CT (LR-ULDCT). We present a novel deep cascade processing workflow to achieve diagnostic visualization on LR-ULDCT