PubMed COVID-19 Clinical Care

The current coronavirus disease 2019 (COVID-19) pneumonia pandemic, caused by the newly discovered coronavirus is a serious public health emergency and a highly infectious disease. Evidence to date suggests that there are groups of people who are at

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COVID-19 is now often moderate and self-recovering, but in a significant proportion of individuals, it is severe and deadly. Determining whether individuals are at high risk for serious disease or death is crucial for making appropriate treatment

CONCLUSION: This work aims to design a new deep neural network for highly accurate online recognition of medical images. The evaluation results show that the proposed framework can be considered an auxiliary device to help radiologists accurately

Artificial intelligence (AI) has been integrated into most technologies we use. One of the most promising applications in AI is medical imaging. Research demonstrates that AI has improved the performance of most medical imaging analysis systems

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Disseminated intravascular coagulopathy (DIC) is infrequently associated with COVID-19 infection. COVID-19 infection can predispose to thrombotic events through inflammation and microvascular injury. DIC is rarely associated with coronary artery

BACKGROUND: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has rapidly spread worldwide in the population since it was first detected in late 2019. The transcription and replication of coronaviruses, although not fully understood, is

CONCLUSION: Teleconsultation was perceived by oncologists as an acceptable method of providing cancer care during and after the COVID-19 pandemic. Oncologists also intend to use teleconsultation in the post-COVID-19 era in certain aspects of patient

Despite a surge of studies on the effects of COVID-19 on our well-being, we know little about how the pandemic is reflected in people's spontaneous thoughts and experiences, such as mind-wandering (or daydreaming) during wakefulness and dreaming