Latest AI and machine learning research in critical care for healthcare professionals.
Cancer is a complex disease that deregulates cellular functions at various molecular levels (e.g., D...
Socially Assistive Robots (SARs) are increasingly conceived as applicable tools to be used in aged c...
Accurate and robust segmentation of anatomical structures from magnetic resonance images is valuable...
Online healthcare consultation offers people a convenient way to consult doctors. In this paper, we ...
The paradigm of representation learning through transfer learning has the potential to greatly enhan...
Studies regarding the influence of diabetes on perioperative outcomes after major hepatectomy are co...
PURPOSE: Robot-assisted laparoscopic prostatectomy (RALP) requires particular surgical conditions, s...
Assessment of risk before lung resection surgery can provide anesthesiologists with information abou...
Lung ultrasound (LUS) imaging as a point-of-care diagnostic tool for lung pathologies has been prove...
By utilizing the complementary information from multiple views, multi-view clustering (MVC) algorith...
The COVID-19 pandemic has devastated the world with health and economic wreckage. Precise estimates ...
Anomaly detection refers to the identification of cases that do not conform to the expected pattern,...
BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has become a global public health co...
STUDY OBJECTIVE: To evaluate the effects of ventilation with low tidal volume and positive end-expir...
Implicit sentiment analysis is a challenging task because the sentiment of a text is expressed in a ...
Network initialization is the first and critical step for training neural networks. In this paper, w...
Brainprint is a new type of biometric in the form of EEG, directly linking to intrinsic identity. Cu...
Jaundice occurs as a symptom of various diseases, such as hepatitis, the liver cancer, gallbladder o...
Predictors of the need for intensive care and mechanical ventilation can help healthcare systems in ...
Speech emotion recognition (SER) is a natural method of recognizing individual emotions in everyday ...
OBJECTIVE: Video recording and video recognition (VR) with computer vision have become widely used i...