Latest AI and machine learning research in intensivists for healthcare professionals.
RNA-Protein binding plays important roles in the field of gene expression. With the development of h...
Breast cancer is one of the most common cancers all over the world, which bring about more than 450,...
Studies reveal that the false alarm rate (FAR) demonstrated by intensive care unit (ICU) vital signs...
This article examines the history of the telemedicine intensive care unit (tele-ICU), the current st...
Increasing evidence has indicated that microRNAs(miRNAs) play vital roles in various pathological pr...
BACKGROUND: Existing prediction models for acute respiratory distress syndrome (ARDS) require manual...
OBJECTIVE: This study was designed to assess clinical predictors of hypoxemia and develop an artific...
Accurate prognosis of patients with cancer is important for the stratification of patients, the opti...
Minimally invasive robotic surgery allows for many advantages over traditional surgical procedures, ...
Bone age assessment (BAA) has various clinical applications such as diagnosis of endocrine disorders...
Multicompartment emulation is an essential step to enhance the biological realism of neuromorphic sy...
BACKGROUND AND OBJECTIVE: Segmenting different tissue components in histopathological images is of g...
Learning an effective visual classifier from few labeled samples is a challenging problem, which has...
The accurate identification of DNA sequence variants is an important, but challenging task in genomi...
The figures found in biomedical literature are a vital part of biomedical research, education, and c...
Acquiring images of the same anatomy with multiple different contrasts increases the diversity of di...
BACKGROUND: Rapid antibiotic administration is known to improve sepsis outcomes, however early diagn...
Gesture recognition using sparse multichannel surface electromyography (sEMG) is a challenging probl...
This study trained long short-term memory (LSTM) recurrent neural networks (RNNs) incorporating an a...
In this paper, a reinforcement learning (RL)-based optimal adaptive control approach is proposed for...
OBJECTIVE: Sedation of neurocritically ill patients is one of the most challenging situation in ICUs...