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| http://dx.doi.org/10.1016/j.jneuroim.2021.577609 | DOI Listing |
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Predictors of Post-Acute Sequelae of COVID-19 in a Diverse Urban Population.
J Gen Intern Med
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Department of Medicine, Weill Cornell Medicine, 525 E 68th St., New York, NY, 10065, USA.
Background: Post-acute sequelae of SARS-CoV-2 infection (PASC) are ongoing, relapsing, or new symptoms present at least 3 months after infection. Predictors of PASC, particularly across diverse racial and ethnic groups, remain unclear.
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Center for Management, University of Münster, Münster, Germany.
Background: Telemedicine is transforming health care by enabling remote diagnosis, consultation, and treatment. Despite rapid adoption during the COVID-19 pandemic, telemedicine uptake among health care professionals (HCPs) remains inconsistent due to perceived risks and lack of tailored policies. Existing studies focus on patient perspectives or general adoption factors, neglecting the complex interplay of contextual variables and trust constructs influencing HCPs' telemedicine adoption.
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COVID-19 has extensively affected the health-care organization with varying impact on different medical specialties. Long term ICU admission is associated with a less familiar complication: the formation of heterotopic ossifications (HO). In this case report we would like to emphasize the unrecognized burden of the coronavirus pandemic in patient care from the perspective of the orthopedic surgeon.
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JMIR Public Health Surveill
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Center for Global Health, University of New Mexico Health Sciences Center, Albuquerque, NM, United States.
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View Article and Find Full Text PDFIn 2019, the novel coronavirus swept the world, exposing the monitoring and early warning problems of the medical system. Computer-aided diagnosis models based on deep learning have good universality and can well alleviate these problems. However, traditional image processing methods may lead to high false positive rates, which is unacceptable in disease monitoring and early warning.
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