Researchers have used Artificial Intelligence (AI) to predict which critically ill Covid-19 patients might respond to interventions carried out in an intensive care setting, such as proning – where patients are turned onto their fronts to get more oxygen into the lungs. This approach, where comprehensive patient data is analysed day-by-day, could be used to improve Covid-19 guidelines and determine the best clinical treatments. The researchers analysed data from 633 mechanically ventilated Covid-19 patients across 20 Intensive Care Units (ICUs) in the UK during the first wave of the Covid-19 outbreak (1 March – 31 August 2020). Read more
The risk of mortality for Covid-19 patients can be identified using five measurements of health, a study by specialists at Royal Brompton and Harefield hospitals has found. The health measurements are used to produce a score that identifies the risk of death from Covid-19 on a scale of 0 (low risk) to 3 (high risk). From this score, it can be determined which patients need in-hospital care and who can safely return home and be monitored remotely. Read more
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