Latest AI and machine learning research in critical care for healthcare professionals.
The strong interaction of blood with the foreign surface of membrane oxygenators during ECMO therapy...
Tree-based machine learning methods have gained traction in the statistical and data science fields....
Chest CT is a useful initial exam in patients with coronavirus disease 2019 (COVID-19) for assessing...
Artificial intelligence (AI) technology has huge scope in developing models to predict the survival ...
The advent of Industry 4.0 has revolutionized the life enormously. There is a growing trend towards ...
Mathematical models of human cardiovascular and respiratory systems provide a viable alternative to ...
BACKGROUND: Sepsis is a heterogeneous syndrome with high morbidity and mortality. Optimal and effect...
COVID-19 pandemic created a turmoil across nations due to Severe Acute Respiratory Syndrome Corona v...
In recent years, machine learning methods have been rapidly adopted in the medical domain. However, ...
BACKGROUND: Hyperpolarized gas MRI can quantify regional lung ventilation via biomarkers, including ...
OBJECTIVES: To compare the artificial intelligence algorithms as powerful machine learning methods f...
In recent years, the machine learning research community has benefited tremendously from the availab...
Accurate medical image segmentation of brain tumors is necessary for the diagnosing, monitoring, and...
Improving detection and follow-up of recommendations made in radiology reports is a critical unmet n...
INTRODUCTION: Long-term cognitive impairment is one of the most common complications of critical ill...
Automatic detection of arrhythmia based on electrocardiogram (ECG) plays a critical role in early pr...
Currently, intelligent systems built on a multimodal basis are used to study the functional state of...
Sepsis is an inflammation caused by the body's systemic response to an infection. The infection coul...
BACKGROUND: Hepatic steatosis (HS) identified on CT may provide an integrated cardiometabolic and CO...
BACKGROUND: Early prediction of patients' deterioration is helpful in early intervention for patient...
BACKGROUND: In this work, we developed many machine learning classifiers to assist in diagnosing res...