PubMed COVID-19 Clinical Care

Recently, there is much hype about the Metaverse, especially since COVID-19 has forced many educational programs to adopt online and/or hybrid practices. This study explored the perceptions and experiences of healthcare professionals and digital

Limited studies explore the use of AI for COVID-19 prognostication. This study investigates the relationship between AI-aided radiographic parameters, clinical and laboratory data, and mortality in hospitalized COVID-19 patients. We conducted a

The ongoing Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic has highlighted the threat that viral outbreaks pose to global health. A key tool in the arsenal to prevent and control viral disease outbreaks is disinfection of

The purpose of this study was to design, develop, and deploy a visitor management system (VMS) to effectively manage visitors during COVID-19. The VMS was designed using the User-Centered Design (UCD) methodology. The iterative process of UCD

In recent years, there has been a growing concern regarding the increasing incidence of infectious diseases with potential global transmission [1]. The World Health Organization (WHO) coined the phrase "Disease X" to denote a theoretical infectious

CONCLUSION: The interdisciplinary design of the course promotes exchange between students and teachers and creates synergies. The modular format of the course also allows for current topics, such as generative AI, to be addressed. In order to promote

CONCLUSION: In patients admitted with COVID-19 in the intensive care unit, delirium was an independent risk factor for the worst prognosis, including mortality. The delirium severity assessed by the CAM-ICU-7 during the first week in the intensive

CONCLUSIONS: Our study identified demographic (older age and rural residence), sociodemographic factors (not having a disability, handicap, or chronic disease), and personal beliefs associated with patients' decisions to choose between video versus

CONCLUSIONS: Our study is the first to comprehensively investigate the dynamic associations between topics discussed by the CDC on Twitter and the COVID-19 epidemic measures in the United States. We identified 4 major topic themes via topic modeling

The role of digital media in crises leading to youth psychiatric admissions is understudied and digital media use increased during the COVID-19 pandemic. In this cross-sectional study, demographics, clinical characteristics, and digital media-related