Search Tag: machine learning

ICU Management

The Future of Critical Care Ultrasound (CCUS)

2020 15 Jan

Critical Care Ultrasound (CCUS) has progressed by leaps and bounds, and will continue to push boundaries, with techniques being modified to suit evolving clinical needs and new applications. Introduction With roots traceable to sonar technology developed for underwater listening and submarine detection, the era of medical ultrasound... Read more

ICU Management

Improving Recognition of Neonatal Sepsis

2020 15 Jan

Improving early recognition of sepsis in the Neonatal Intensive Care Unit using machine learning models and electronic health record data. Neonatal Sepsis - Incidence and Outcomes Despite advances in knowledge and medical care, sepsis remains a major cause of morbidity and mortality in infants worldwide, claiming the lives of one... Read more

ICU Management

ICU Management & Practice 2019 Subject Index

2020 15 Jan

Subject Index for Volume 19, issues 1-4, 2019. Issue    Pages Link Issue 1  1-64 https://iii.hm/10cv Issue 2 65-128 https://iii.hm/10cw Issue 3 129-192 https://iii.hm/10cx Issue 4  193-256 https://iii.hm/10cy   Acute Respiratory Distress Syndrome Use of sedation... Read more

ICU Management

Machine Learning to Predict Severe Sepsis and Septic Shock

2019 21 Oct

Sepsis is a major cause of death among hospitalised patients. It affects nearly 6% of all admissions and results in in-hospital mortality of greater than 15%. Early detection could reduce mortality, as it would result in the timely implementation of evidence-based interventions.  Clinical researchers have developed and implemented a machine-learning... Read more

ICU Management

Machine-Learning-Based Prediction Models for AKI

2019 23 Aug

Acute Kidney Injury (AKI) is a common occurrence for critically ill patients in the ICU, and its early diagnosis has proven to be challenging. The accuracy of the online, machine-learning-based prediction model, AKIpredictor , was analysed for its use in a clinical setting.   The study, which took place over five ICUs in Belgium, compared the predictions... Read more

ICU Management

#ISICEM19: New developments in CPR; machine learning - Professor Jerry Nolan

2019 20 Mar

At this years  39th International Symposium on Intensive Care and Emergency Medicine ,  Professor Jerry Nolan , a consultant in anaesthesia and intensive care medicine at the Royal United Hospital, Bath, talked about new developments in CPR during the Max Harry Weil Lecture, one of the most important presentations at #ISICEM19. Dr. Max Harry Weil... Read more

ICU Management

Harvard study: machine learning improves ED triage

2019 27 Feb

The increasing number of emergency department (ED) visits often correlates with ED crowding and delays in care. This problem highlights the need for ED triage systems that accurately differentiate and prioritise critically ill from stable patients, enabling efficient allocation of finite ED resources.     Currently, the Emergent Severity... Read more

ICU Management

New algorithm reduces testing for ICU patients

2019 30 Jan

Enrolling seriously ill patients in intensive care units for clinical trials is often a big challenge for investigators. This is one reason why there is a dearth of evidence-based guidelines in critical medicine. For instance, ICU doctors often face a dilemma when it comes to ordering lab tests for specific patients.   While ICU doctors are... Read more

ICU Management

Machine learning improves prediction of OHCA survival

2018 04 Dec

Cardiac arrest, a leading cause of admission to the intensive care unit (ICU), is associated with high mortality. Current illness severity scores perform poorly in predicting survival for this patient group. New research from Australia shows machine learning (ML) techniques can significantly increase the accuracy of estimating survival for ICU patients... Read more

ICU Management

Emergency admission risk: machine learning model works well

2018 20 Nov

Machine learning can be used to analyse electronic health records and predict the risk of emergency hospital admissions, according to a new study from The George Institute for Global Health at the University of Oxford has found. You might also like: Hospital readmissions and machine learning The study is published in PLOS Medicine [open... Read more