Latest AI and machine learning research in critical care for healthcare professionals.
Integration of multi-omics in cardiovascular diseases (CVDs) presents high potentials for translatio...
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...
Multi-parametric MRI (mp-MRI) is considered the best non-invasive imaging modality for diagnosing pr...
Acquiring images of the same anatomy with multiple different contrasts increases the diversity of di...
OBJECTIVE: Obstructive sleep-disordered breathing (SDB) events, unlike central events, are associate...
BACKGROUND: Rapid antibiotic administration is known to improve sepsis outcomes, however early diagn...
We hypothesized that blood lactate concentration([Lac]) is a function of cardiopulmonary variables, ...
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...
The purpose of this study was to compare the volume of fluid removal associated with and without 25...
High-grade gliomas are the most aggressive malignant brain tumors. Accurate pre-operative prognosis ...
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive impairment of ...
Brain-computer interfaces based on motor imagery (MI) have been widely used to support the rehabilit...
This paper presents a novel method for hierarchical analysis of machine learning algorithms to impro...
With the continuous accumulation of biological data, more and more machine learning algorithms have ...
We propose an end-to-end architecture for joint 2D and 3D human pose estimation in natural images. K...
Multi-modality examinations have been extensively applied in current clinical cancer management. Lev...
Bovine respiratory disease (BRD) is the most common infectious disease in dairy and beef cattle. It ...
Automated tissue classification is an essential step for quantitative analysis and treatment of emph...
STUDY OBJECTIVE: Sepsis is a common and major health crisis in hospitals globally. An innovative and...