Results 111 to 120 of about 219,550 (295)
Predictive Factors for Cardiopulmonary Resuscitation Failure
, 2021 Ardi Pramono +4 more
openalex +1 more source
Overview of Diagnostic Ultrasound Safety
Journal of Ultrasound in Medicine, EarlyView.Ultrasound is widely regarded as a safe imaging modality; however, emerging ultrasound‐based techniques—such as shear wave elastography and contrast‐enhanced ultrasound—operate with varying acoustic output parameters that may approach or exceed traditional diagnostic limits. As these technologies are increasingly integrated into human research studies,
Saubhagya Srivastava +5 more
wiley +1 more source
Current practice and awareness of perioperative do-not-attempt-resuscitation orders: a single-center retrospective survey and complete questionnaire survey [PDF]
Keisuke Shimizu +4 more
openalex +1 more source
Inaccuracy and delay in decision making in paediatric resuscitation, and a proposed reference chart to reduce error. [PDF]
, 1988 Peter Oakley
openalex +1 more source
The Kaohsiung Journal of Medical Sciences, EarlyView.ABSTRACT Lung injury is a common complication in critical sepsis. PRMT5 is implicated in endothelial inflammation and lung diseases, but its role in sepsis‐associated lung injury remains unclear. This study collected clinical sepsis samples and detected the mRNA expression of PRMT5.
Bo Wang, Zhen Ge, Fei‐Xiang Chen
wiley +1 more source
Protocol for a systematic review of the impact of resuscitation fluids on the microcirculation after haemorrhagic shock in animal models [PDF]
, 2015 David N Naumann +3 more
openalex +1 more source
A Randomized, Controlled Animal Study: 21% or 100% Oxygen during Cardiopulmonary Resuscitation in Asphyxiated Infant Piglets [PDF]
, 2022 Solomon Nyame +4 more
openalex +1 more source
AI‐powered nursing handoffs: Introducing and evaluating the patient report template
Learning Health Systems, EarlyView.Abstract Purpose To understand (1) if nurses view the individual components of the Patient Report Template as useful in their day‐to‐day workflow, and (2) understand the perceptions of nurses related to artificial intelligence use in their day‐to‐day work.
Gabriel Vald +3 more
wiley +1 more source