Latest AI and machine learning research in critical care for healthcare professionals.
In the past decade, deep learning models have been applied to bio-sensors used in a body sensor netw...
: Traditional assessment of the readiness for the weaning from the mechanical ventilator (MV) needs ...
In order to solve the problem in which most currently existing research focuses on the binary tactil...
Adversarial examples are usually generated by adding adversarial perturbations on clean samples, des...
The key issue in the field of smart contract security is efficient and rapid vulnerability detection...
Morphological attributes from histopathological images and molecular profiles from genomic data are ...
To better understand the molecular basis of respiratory diseases of viral origin, high-throughput ge...
The authors of this study developed the use of attenuated total reflectance Fourier transform infrar...
World Health Organization (WHO) declared COVID-19 (COronaVIrus Disease 2019) as pandemic on March 11...
Inflammatory bowel diseases (IBDs), including ulcerative colitis and Crohn's disease, affect several...
The cross-view 3D human pose estimation model has made significant progress, it better completed the...
The axle box in the bogie system of subway trains is a key component connecting primary damper and t...
Although emerging evidence has implicated structural/functional abnormalities of patients with Autis...
Current COVID-19 predictive models primarily focus on predicting the risk of mortality, and rely on ...
Machine learning models that utilize patient data across time (rather than just the most recent meas...
Pediatric sepsis imposes a significant burden of morbidity and mortality among children. While the s...
Quality identification of multi-component mixtures is essential for production process control. Arti...
OBJECTIVES: We aimed to develop deep learning models using longitudinal chest X-rays (CXRs) and clin...
Financial portfolio management (PM) is one of the most applicable problems in reinforcement learning...
Multi-state models can capture the different patterns of disease evolution. In particular, the illne...
Temporal dataset shift associated with changes in healthcare over time is a barrier to deploying mac...