PubMed COVID-19 Clinical Care

Deep neural networks (DNN) supported by multicenter large-scale Chest X-Ray (CXR) datasets can efficiently perform tasks such as disease identification, lesion segmentation, and report generation. However, the non-ignorable inter-domain heterogeneity

BACKGROUND: There is increasing data that show a persistently impaired pulmonary function upon recovery after severe infection. Little is known however about the extent, recovery and determinants of pulmonary impairment across the full spectrum of

CONCLUSIONS: This analysis demonstrates how routine data can be used to propose potential programmatic improvements. IWTK implemented innovations on the website based on the study results to improve users' experience, including a tracking system for

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CONCLUSION: Disruptions in new diagnoses of four common cancers (prostate, lung, bladder, and colorectal) seen early in the COVID-19 pandemic have persisted for 2 years. Although reductions improved from the early pandemic, new reductions during the

CONCLUSIONS: The study conducted aims at supporting the planning of these facilities in relation to the catchment area and their sizing. It will be necessary to define the location by evaluating the possibility of setting them up within existing

CONCLUSIONS: We report an overall positive effect of health education interventions in primary schools. Although the limitations in the study design, our findings are important to inform planning, implementation and monitoring of health promotion

Bats are reservoirs of various coronaviruses that can jump between bat species or other mammalian hosts, including humans. This article explores coronavirus infection in three bat species (Tadarida brasiliensis, Eumops bonariensis, and Molossus

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Previous research has established that the success of strikes, and social movements more broadly, depends on their ability to garner support from the public. However, there is scant published research investigating the response of the public to