Latest AI and machine learning research in critical care for healthcare professionals.
BACKGROUND AND OBJECTIVE: Accurate prognosis prediction for cancer patients plays a significant role...
In intensive care unit (ICU) patients undergoing mechanical ventilation (MV), the occurrence of diff...
The multi-lead electrocardiogram (ECG) is widely utilized in clinical diagnosis and monitoring of ca...
BackgroundTo develop and validate a mortality prediction model for patients with sepsis-associated A...
Respiratory motion, cardiac motion and inherently low signal-to-noise ratio (SNR) are major limitati...
The ICU is a specialized hospital department that offers critical care to patients at high risk. The...
Clinical studies have proved that both structural magnetic resonance imaging (sMRI) and functional m...
BACKGROUND: Accurate identification of cancer subtypes is crucial for disease prognosis evaluation a...
BACKGROUND: Sepsis is a heterogeneous syndrome, and enrollment of more homogeneous patients is essen...
BACKGROUND: Mechanical ventilation (MV) is vital for critically ill ICU patients but carries signifi...
MicroRNAs (miRNAs) are a key class of endogenous non-coding RNAs that play a pivotal role in regulat...
High-quality standard views in two-dimensional echocardiography are essential for accurate cardiovas...
The potential and promise of deep learning systems to provide an independent assessment and relieve ...
BACKGROUND: Deep learning reconstruction (DLR) with denoising has been reported as potentially impro...
Drug therapy remains the primary approach to treating tumours. Variability among cancer patients, in...
Near-infrared (NIR) spectroscopy has been widely utilized to predict multi-constituents of corn in a...
Multi-modal Magnetic Resonance Imaging (MRI) offers complementary diagnostic information, but some m...
The integration of morphological attributes extracted from histopathological images and genomic data...
One reason arid and semi-arid environments have been used to store waste is due to low groundwater r...
INTRODUCTION: This study aims to construct a mortality prediction model for patients with non-varice...
The limited data poses a crucial challenge for deep learning-based volumetric medical image segmenta...