RSS Items

CONCLUSIONS: UEs were decreased by education with ongoing tracking, and UEs from patient factors were associated with better outcome than other etiologies. Workforce changes produced by the COVID-19 pandemic did not change the rate of UEs.

CONCLUSIONS: Firearm injuries pose an increasing burden to trauma systems, with level I and high-volume centers seeing the largest growth in 2020. Despite increasing numbers of firearm injuries, mortality has remained unchanged over the past decade.

Chronic rhinosinusitis (CRS) is a heterogeneous disease characterized by localized inflammation of the upper airways. CRS includes two main phenotypes, namely, CRS with nasal polyps and CRS without nasal polyps. The phenotype-based classification

CONCLUSIONS: In the decade from 2008 through 2018, terrorist attacks on US soil used weapons with well-understood injury-causing modalities. A total of 217 fatal injuries (FI) and 660 non-fatal injuries (NFI) were sustained as a result of these

CONCLUSIONS: This study demonstrates the utility of social media data as a quantitative means to measure racial sentiment over time and place. This approach can be extended to a range of public health topics to investigate how changes in social and

CONCLUSION AND IMPLICATIONS: Our study confirmed the decisive role of subject social status in health prediction compared to traditional socioeconomic measures, which extends the cognitive-relational in examining socioeconomic status and contributes

The outbreak of the COVID-19 epidemic has had a significant impact in increasing the number of emergency calls, which causes significant problems to emergency medical services centers (EMS) in many countries around the world, such as Saudi Arabia

CONCLUSION: We suggest that national policy makers and organisational leaders remain mindful of the lessons learned and knowledge gained at all levels (national, regional, local, organisational, and individual) during the COVID-19 pandemic. We make

CONCLUSION: We developed a deep learning-based clinical decision support system that could become an efficient concurrent reading tool to assist clinicians, utilising a newly created European dataset including more than 2,800 CT scans.

This paper focuses on forecasting the total count of confirmed COVID-19 cases in Saudi Arabia through a range of methodologies, including ARIMA, mathematical modeling, and deep learning network (DQN) techniques. Its primary aim is to anticipate the