Latest AI and machine learning research in critical care for healthcare professionals.
MOTIVATION: Named entity recognition is a critical and fundamental task for biomedical text mining. ...
INTRODUCTION: Traditional physiotherapy is currently the best approach to manage patients with inten...
Video-based motion analysis gave rise to contactless respiration rate monitoring that measures subtl...
Blood infection due to different circumstances could immediately develop to an extreme body reaction...
Given the extensive use of machine learning in patient outcome prediction, and the understanding tha...
Predicting Cardiovascular Length of stay based hospitalization at the time of patients' admitting to...
Sepsis is a life-threatening clinical syndrome and one of the most expensive conditions treated in h...
Stress analysis and assessment of affective states of mind using ECG as a physiological signal is a ...
Lactate is an important biomarker with a significant diagnostic and prognostic ability in relation t...
Preterm newborns are prone to late-onset sepsis, leading to a high risk of mortality. Video-based an...
Automatic extraction of the lumen-intima border (LIB) and the media-adventitia border (MAB) in intra...
Analyzing and interpreting cone-beam computed tomography (CBCT) images is a complicated and often ti...
Pulmonary fissure segmentation is important for localization of lung lesions which include nodules a...
Blood infection due to different circumstances could immediately develop to an extreme body reaction...
This paper presents a robust deep learning framework developed to detect respiratory diseases from r...
Sleep disorders have become more common due to the modern lifestyle and stress. The most severe case...
Patients suffering from respiratory failure are often put on assisted mechanical ventilation. Patien...
Can collaborative robots ramp up the production of medical ventilators?
Blood lactate concentration is a reliable risk indicator of deterioration in critical care requiring...
Studies have shown that mental health and comorbidities such as dementia, diabetes and cardiovascula...
Automatic multi-classification of breast cancer histopathological images has remained one of the top...