ICU

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News • Decision support system

Reducing high-risk drug combinations in the ICU

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.

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News • Machine learning prognosis

Six numbers that predict life-threatening Covid-19

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.

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News • ICU assessment

AI to predict critical care for patients with Covid-19

Researchers from the University of Chicago developed a deep-learning model to assess chest X-ray radiographs for probable Covid-19 severity.

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News • Treatment suggestions for sepsis

AI in the ICU: new model outperforms humans

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.

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News • Neonatology

Portable MRI in pediatric ECMO patients: promising premiere

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.

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Article • Webcams in neonatology offer clinical value

Baby on-screen 24/7

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…

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News • More nurses, less ventilation and medication

A new approach to improve outcomes for critically-ill children

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…

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News • Intensive care & AI

Machine learning model predicts ICU patients' mortality risk

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…

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News • Intensive care support

AI predicts daily ICU trajectory for critical Covid-19 patients

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…

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News • Alarm system 'ELISE'

A digital 'co-pilot' for paediatric intensive care

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…

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News • After the coma

Prolonged anesthesia 'rewires' the brain

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…

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News • AI 'Haven' in intensive care

Machine learning to identify deteriorating hospital patients

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…

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News • Coronavirus research

Boosting the immune system: a potential treatment strategy for COVID-19?

As the COVID-19 pandemic continues to claim lives around the world, much research has focused on the immune system’s role in patients who become seriously ill. A popular theory has it that the immune system gets so revved up fighting the virus that, after several days, it produces a so-called cytokine storm that results in potentially fatal organ damage, particularly to the lungs.

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News • Critical care

COVID-19: High mortality in hospital patients

Approximately one fifth of COVID-19 patients admitted to German hospitals between the end of February and mid-April died. For patients receiving ventilation, the mortality rate was 53%. For those not receiving ventilation, the rate was significantly lower at 16%. 17% of all patients were ventilated during this period. These are the main results of an analysis by WIdO, the research institute of…

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News • Alarm sound design

Taking the noise out of hospital rooms

Hospitals can get noisy, especially intensive care units, and the life-saving electronic machines monitoring patient vital signs are making most of the racket. Mike Rayo, an assistant professor of integrated systems engineering at The Ohio State University, is working to improve and organize the cacophony to help caregivers and patients alike. For almost a decade, Rayo has collaborated on…

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News • Post-intensive care syndrome (PICS)

How physical therapists can aid COVID-19 patients' recovery after ICU

At least half of all patients who survive treatment in an intensive care unit will experience at least one of a triad of problems associated with post-intensive care syndrome, or PICS, and this may be true for people recovering from COVID-19 following ICU care. PICS can manifest as problems with physical function, cognition and mental health, according to a fact sheet from the American Thoracic…

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Video • Cooling vests

Keeping a cool head for all ICU doctors and nurses

Hundreds of ICU doctors and nurses are currently fighting for the lives of others. The protective gear they are asked to wear is sealed and heavy, which can cause overheating. Especially for these doctors and nurses, the NOC*NSF has provided hundreds of cooling vests which would have otherwise been used by our athletes at the Olympics. Inuteq, the manufacturers of these cooling vests, is…

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