Latest AI and machine learning research in critical care for healthcare professionals.
Information in Electronic Medical Records (EMRs) can be used to generate accurate predictions for the occurrence of a variety of health states, which can contribute to more pro-active interventions. The very nature of EMRs does make the application of off-the-shelf machine learning techniques difficult. In this paper, we study two approaches to making predictions that have hardly been compared in ...
Aging population is a major concern that is reflected in the increase of chronic diseases. Heart Failure (HF) is one of the most common chronic diseases of elderly people that is punctuated with acute episodes, which result in hospitalization. The periodic modulation of the amplitude of the breathing pattern is proved to be one of the multiple symptoms of an acute episode, and thus, the features e...
Minimally invasive approaches to diaphragm plication for eventration include thoracoscopic and laparoscopic techniques. The elevated hemidiaphragm and...
OBJECTIVE: To explore the effect of prone position ventilation (PPV) on respiratory mechanics and prognosis in patients with acute respiratory distres...
OBJECTIVE: To investigate the influence of exhalation valve location as well as its type on carbon dioxide (CO2) rebreathing during noninvasive positi...
OBJECTIVE: To reproduce a clinically relevant "two-hit" model of sepsis complicated by pneumonia and to explore the correlation between "two-hit" and ...
OBJECTIVE: To investigate the role and its mechanism of the NOD-like receptor 3 (NLRP3) inflammasome in alveolar macrophages in ventilator-induced lun...
OBJECTIVE: To investigate the influence of the midazolam sedation based on remifentanil analgesia on the occurrence of delirium in critically ill pati...
OBJECTIVE: To assess the value of passive leg raising (PLR) test in predicting fluid responsiveness in patients with sepsis-induced cardiac dysfunctio...
PURPOSE: A unique capability of the CyberKnife system is dynamic target tracking. However, not all patients are eligible for this approach. Rather, th...
Early classification of time series has been receiving a lot of attention recently. In this paper we present a model, which we call the Early Classifi...
Epidemic outbreaks of avian influenza (AI) virus H5N1 have been frequently reported in Egypt during the last nine years. Here we investigate the invol...
Calciphylaxis or uremic arteriolopathy is a complex process typically seen in patients with end-stage renal disease, but has also been reported in pat...
PURPOSE OF REVIEW: Failed opportunities to reduce morbidity and mortality occur when evidence-based therapies are not fully implemented in clinical pr...