PubMed COVID-19 Clinical Care

No abstract

CONCLUSION: This study showed that the COVID-19 crisis resulted in a significant reduction in the total volume of patients and cardiac procedures and, in turn, the number of training episodes. This may have limited the fellows from achieving a great

Mucormycosis is an uncommon, yet deadly invasive fungal infection caused by the Mucorales moulds. These pathogens are a WHO-assigned high-priority pathogen group, as mucormycosis incidence is increasing, and there is unacceptably high mortality with

(1) Background: The presence of restrictive left ventricular diastolic filling pattern (LVDFP) is associated with an unfavorable prognosis in many cardiac diseases, but few data are available on the prognostic implications of this pattern in patients

In early February 2023, the Omicron subvariant XBB.1.5, also known as "Kraken", accounted for more than 44% of new COVID-19 cases worldwide, whereas a relatively new Omicron subvariant named CH.1.1, deemed "Orthrus", accounted for less than 6% of new

Smartphone-based point-of-care testing (POCT) is rapidly emerging as an alternative to traditional screening and laboratory testing, particularly in resource-limited settings. In this proof-of-concept study, we present a smartphone- and cloud-based

It took nearly two thousand years for society to recognize the Hippocratic insistence that "the doctor knows best"¹ was an inadequate approach to medical decisionmaking. Today, patient-centered medicine has come to understand that the individual

CONCLUSIONS: This is the first robust large-scale national dataset showing trends in incidence and waiting time for THR and TKR over two decades. There was an expansion of activity with a reduction in waiting time, which peaked in 2013, followed by

CONCLUSIONS: Increased consumption among people with heavy drinking patterns and reduced utilization of addiction-specific healthcare services during the pandemic might explain excess mortality. During times of public health crises, access to

CONCLUSION: Machine learning applications in healthcare are extensively researched, but successful translations to the bedside are rare. By describing DEPLOYR, we aim to inform machine learning deployment best practices and help bridge the model