Latest AI and machine learning research in critical care for healthcare professionals.
Leveraging the wealth of biomedical data available, we can derive insights into the relationships be...
PURPOSE OF REVIEW: To discuss current and future role of artificial intelligence in predicting sever...
This article proposes a novel approach for vibration-based gearbox fault diagnosis using a multi-sca...
With the rapid expansion of railway networks globally, ensuring rail infrastructure safety through e...
The substantial increase in mental health disorders globally necessitates scalable, accurate tools f...
Acute Respiratory Distress Syndrome (ARDS) is a life-threatening condition characterized by acute on...
One of the primary challenges leading to a significant reduction in agricultural production is the p...
Irritable Bowel Syndrome (IBS) is a common gastrointestinal disorder frequently accompanied by psych...
Ferroptosis and lethal sepsis are interlinked, although this association remains largely unknown to ...
RATIONALE AND OBJECTIVES: Hyperpolarized Xenon magnetic resonance imaging (MRI) measures the extent ...
AIM: Chronic obstructive pulmonary disease (COPD) and heart failure (HF) are closely intertwined com...
BACKGROUND: The incidence of intensive care unit (ICU) admissions and the corresponding mortality ra...
This study developed an immune-related long non-coding RNAs (lncRNAs)-based prognostic signature by ...
Imaging techniques have considerably improved corrosion-induced metal loss defect detection and seve...
Predicting students' grades through their classroom behavior has been a longstanding concern in educ...
In Unmanned Aerial Vehicle (UAV) networks, multi-class aerial image classification (AIC) is crucial ...
At present, there are currently no molecular biomarkers for the early diagnosis of sepsis cardiomyop...
The subjective nature of diagnosing mental disorders complicates achieving accurate diagnoses. The c...
Chronic obstructive pulmonary disease (COPD) is a highly heterogeneous condition characterized by di...
To address the limitations of current artificial neurons in neuromorphic hardware implementation, Nb...