Willingness and self-confidence of healthcare workers in Bahrain in assisting with in-flight emergencies.

Background: In-flight medical emergency (IFE) impose considerable challenges on healthcare workers (HCWs) because of limited resources, constrained environment, and medico-legal issues. This study assessed HCWs knowledge, willingness, and confidence in addressing in-flight medical emergencies.

Materials And Methods: A cross-sectional study was conducted between June and August 2023 among nurses and physicians working in primary healthcare centers and governmental hospitals in Bahrain.

Point-of-care AI-assisted stepwise ultrasound pneumothorax diagnosis.

. Ultrasound is extensively utilized as a convenient and cost-effective method in emergency situations. Unfortunately, the limited availability of skilled clinicians in emergency hinders the wider adoption of point-of-care ultrasound.

Inhibition Mechanism of Methicillin-Resistant by Zinc Oxide Nanorods via Suppresses Penicillin-Binding Protein 2a.

Methicillin-resistant (MRSA) causes life-threatening infections. Zinc oxide is well known as an effective antibacterial drug against many bacterial strains. We investigated the performance of zinc oxide nanorods synthesized by Albmiun as a biotemplate as an antibacterial drug in this study; the fabrication of zinc oxide nanorods was synthesized by sol-gel methods.

Fungicidal Activity of Zinc Oxide Nanoparticles against Azole-Resistant Isolated from Yellow and White Maize.

The risk of resistance development and adverse effects on human health and the environment has increased in the last decade. Furthermore, many antifungal agents fail to inhibit the pathogenesis of azole-resistant . In this report, we isolated and identified azole-resistant isolates from two sources of maize (white and yellow maize).

Head CT deep learning model is highly accurate for early infarct estimation.

Non-contrast head CT (NCCT) is extremely insensitive for early (< 3-6 h) acute infarct identification. We developed a deep learning model that detects and delineates suspected early acute infarcts on NCCT, using diffusion MRI as ground truth (3566 NCCT/MRI training patient pairs). The model substantially outperformed 3 expert neuroradiologists on a test set of 150 CT scans of patients who were potential candidates for thrombectomy (60 stroke-negative, 90 stroke-positive middle cerebral artery territory only infarcts), with sensitivity 96% (specificity 72%) for the model versus 61-66% (specificity 90-92%) for the experts; model infarct volume estimates also strongly correlated with those of diffusion MRI (r > 0.