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.
Despite treatment, chronic lung diseases such as COPD or cystic fibrosis can become so severe that a lung transplant is necessary. Dr Urte Sommerwerck explains which patients might be considered for transplantation and why follow-up is as important as the surgery itself.
Recovery from severe Covid-19 is characterized by a reduction of certain white blood cells and changes in the molecular regulation of the immune system, an international research team found.
Reducing inflammatory mediators in the blood before surgical treatment of cardiac bacterial infection does not improve clinically relevant outcome, a new study shows.
Nowhere does the birthplace of a preterm baby determine life or death more than in Africa. A concerted effort is made to reduce the continent’s dramatically high neonatal mortality rates.
A major UK clinical trial led by Queen’s University Belfast has shown how a new approach to reduce the use of mechanical ventilation can greatly improve outcomes for critically ill infants and children. The study, funded by the National Institute for Health Research (NIHR) Health Technology Programme, found that a greater involvement of nurses, minimising sedation use and increasing daily…
A research team at Universitat Autònoma de Barcelona (UAB), in collaboration with the Hospital de Mataró, developed a new machine learning-based model that predicts the risk of mortality of intensive care unit patients according to their characteristics. The research was published in the latest edition of the journal Artificial Intelligence in Medicine, with a special mention as a…
Researchers used AI to identify which daily changing clinical parameters best predict intervention responses in critically ill Covid-19 patients. The investigators used machine learning to predict which patients might get worse and not respond positively to being turned onto their front in intensive care units (ICUs) - a technique known as proning that is commonly used in this setting to improve…
Working in intensive care units poses special challenges for healthcare workers. They have to safely and reliably detect whether the condition of their seriously ill patients is deteriorating in a life-threatening way, and they have to do so under great time pressure because every minute counts. The stress level increases even more when the patients are children and adolescents. In paediatric…
Prolonged anesthesia, also known as medically induced coma, is a life-saving procedure carried out across the globe on millions of patients in intensive medical care units every year. But following prolonged anesthesia--which takes the brain to a state of deep unconsciousness beyond short-term anesthesia for surgical procedures--it is common for family members to report that after hospital…
Researchers in Oxford have developed a machine learning algorithm that could significantly improve clinicians’ ability to identify hospitalised patients whose condition is deteriorating to the extent that they need intensive care. The HAVEN system (Hospital-wide Alerting Via Electronic Noticeboard) was developed as part of a collaboration between the University of Oxford’s Institute of…
Sony has announced an update to its vendor-neutral medical imaging platform Nucleus. This version built in direct response to the pandemic, introduces remote patient observation with new recording functionalities for use in the operating room (OR), Intensive Care Units (ICU), endoscopy suites, interventional rooms or anywhere else in the hospital.
A survey of nurses caring for children with heart problems has revealed that more than half are emotionally exhausted. The analysis, presented at ESC Congress 2020, also found that good working environments were linked with less burnout.
