Latest AI and machine learning research in intensivists for healthcare professionals.
BACKGROUND: Survival and drug response are two highly emphasized clinical outcomes in cancer researc...
Small cell lung cancer (SCLC) is a particularly aggressive tumor subtype, and dihydroorotate dehydro...
Multi-agent deep reinforcement learning (MDRL) has been widely applied in multi-intersection traffic...
In the increasingly pressing context of improving recycling, optical technologies present a broad po...
Jump locomotion is the basic movement of human. However, no thorough research on the recognition of ...
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...
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...
By utilizing the complementary information from multiple views, multi-view clustering (MVC) algorith...
Monitoring the pain intensity in critically ill patients is crucial because intense pain can cause a...
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...
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 ...
Digital pathology platforms with integrated artificial intelligence have the potential to increase t...