Latest AI and machine learning research in critical care for healthcare professionals.
Learning electronic health records (EHRs) has received emerging attention because of its capability ...
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a single-stranded RNA virus, which m...
Deep learning plays a pivotal role in retinal blood vessel segmentation for medical diagnosis. Despi...
Brachycephalic obstructive airway syndrome (BOAS) is a highly prevalent respiratory disease affectin...
Laryngeal hemiplegia (LH) is a major upper respiratory tract (URT) complication in racehorses. Endos...
The druggable proteome refers to proteins that can bind to small molecules with appropriate chemical...
BACKGROUND: Accurate patient outcome prediction in the intensive care unit (ICU) can potentially lea...
In cloud computing (CC), task scheduling allocates the task to best suitable resource for execution....
Artificial neural networks (ANNs) are versatile tools capable of learning without prior knowledge. T...
Automated segmentation algorithms for dermoscopic images serve as effective tools that assist dermat...
PURPOSE: To evaluate the feasibility and utility of a deep learning (DL)-based reconstruction for im...
The advancement of intelligent and biodegradable respiratory protection equipment is pivotal in the ...
In this paper, finite-time cluster synchronization (FTCS) of multi-weighted fractional-order neural ...
PROBLEM: Sepsis, a life-threatening condition, accounts for the deaths of millions of people worldwi...
End-stage kidney disease (ESKD) presents a significant public health challenge, with hemodialysis (H...
Novel artificial intelligence methods can aide in identification of cases of conditions using only u...
BACKGROUND: Acute respiratory distress syndrome (ARDS) after cardiac surgery is a severe respiratory...
BACKGROUND: The prognostication of long-term functional outcomes remains challenging in patients wit...
PURPOSE: Respiratory motion (RM) significantly impacts image quality in thoracoabdominal PET/CT imag...
The causes of traffic violations by elderly drivers are different from those of other age groups. To...
Machine learning (ML) tools for acute respiratory distress syndrome (ARDS) detection and prediction ...