The heterogeneity of critical illnesses like sepsis, ARDS, and trauma creates immense challenges. A new, unified way to classify patients aims to improve treatment.
Performed inaccurately, cannulation of major veins is associated with complications like pneumothorax or artery puncture. Chinese researchers propose a new ultrasound-guided method for more accuracy.
Hospitalists face a dual challenge when a critically ill pregnant patient is admitted to a hospital: providing safe and effective treatment for both mother and fetus. At the annual meeting of the Society of Hospital Medicine (SHM) in Las Vegas, an expert discussed why hospitalists must draw on a variety of skills when treating pregnant inpatients.
A new ventilation mode called proportional assist ventilation (PAV+) could improve outcomes for patients in the intensive care unit (ICU) who require help breathing, a new study finds.
Newborns, especially those born prematurely, are vulnerable to conditions such as sepsis. A new device profiles an infant’s immune function from a single drop of blood to improve neonatal care.
In an NICU, it is critically important to accurately assess a baby's pain level. A new review finds that none of the current clinical rating scales are backed by evidence in terms of validity and reliability.
Machine learning models fail to detect key health deteriorations in the ICU: a new study reveals that 66% of critical injuries in hospitals would go unnoticed if the current AI models were put to use.
When a Neonatal Intensive Care Unit (NICU) runs out of capacity, babies often have to be moved, creating health risks. Researchers investigate how flexible deployment of nurses can prevent this.
UK scientists are harnessing the power of AI to assess the antimicrobial resistance of patients in intensive care units (ICUs) and identify sepsis-causing bloodstream infections.
Infections caused by antibiotic-resistant (AMR) bacteria are a major issue in hospitals. A new technique aims to effectively track all types of relevant microorganisms simultaneously.
New research into a life-threatening, but underestimated complication in lung transplants not only provides new insights, but also approaches for early detection and timely treatment.
Fewer, but more relevant alerts in the ICU: Dutch researchers show how a computerized decision support system significantly reduces high-risk drug combinations in intensive care patients.
Researchers from Rutgers University developed a way to help hospitals identify life-threatening Covid-19 cases using machine-learning software. The algorithm identified six crucial parameters.
Researchers from the University of Chicago developed a deep-learning model to assess chest X-ray radiographs for probable Covid-19 severity.
An artificial intelligence developed at TU Wien (Vienna) can suggest appropriate treatment steps in cases of blood poisoning. The computer has already surpassed humans in this respect.
The neonatology team at the University Hospital Bonn (UKB) has conducted the world's first study of children receiving ECMO therapy using a mobile MRI scanner.
True or false: Webcams have only recently been introduced in neonatology and are a patient-side component of the Digital Health Portfolio. False! Already in 1989, Professor Dr Roland Wauer at Charité Berlin built his DIY system to transmit images from the neonatology ward.
A new global study involving ICUs across 50 countries recommends a systematic approach to reduce the duration of ventilation to improve risk of death.
In their pursuit of solutions for pandemic challenges, a US hospital system applied telemedicine principles to respiratory therapy – with impressive results.
