Critical Care

Latest AI and machine learning research in critical care for healthcare professionals.

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FusionMVSA: Multi-View Fusion Strategy with Self-Attention for Enhancing Drug Recommendation.

Leveraging the wealth of biomedical data available, we can derive insights into the relationships be...

Role of artificial intelligence in ICU therapeutic decision-making for severe infections.

PURPOSE OF REVIEW: To discuss current and future role of artificial intelligence in predicting sever...

Vibration-based gearbox fault diagnosis using a multi-scale convolutional neural network with depth-wise feature concatenation.

This article proposes a novel approach for vibration-based gearbox fault diagnosis using a multi-sca...

Air-ground collaborative multi-source orbital integrated detection system: Combining 3D imaging and intrusion recognition.

With the rapid expansion of railway networks globally, ensuring rail infrastructure safety through e...

Comparing traditional natural language processing and large language models for mental health status classification: a multi-model evaluation.

The substantial increase in mental health disorders globally necessitates scalable, accurate tools f...

Imaging and pulmonary function techniques in ARDS diagnosis and management: current insights and challenges.

Acute Respiratory Distress Syndrome (ARDS) is a life-threatening condition characterized by acute on...

A Multi-kernel CNN model with attention mechanism for classification of citrus plants diseases.

One of the primary challenges leading to a significant reduction in agricultural production is the p...

Multi-kingdom microbiota analysis reveals bacteria-viral interplay in IBS with depression and anxiety.

Irritable Bowel Syndrome (IBS) is a common gastrointestinal disorder frequently accompanied by psych...

Disease Classification of Pulmonary Xenon Ventilation MRI Using Artificial Intelligence.

RATIONALE AND OBJECTIVES: Hyperpolarized Xenon magnetic resonance imaging (MRI) measures the extent ...

Developing a Panel of Shared Susceptibility Genes as Diagnostic Biomarkers for chronic obstructive pulmonary disease and Heart Failure.

AIM: Chronic obstructive pulmonary disease (COPD) and heart failure (HF) are closely intertwined com...

Machine learning combined with multi-omics to identify immune-related LncRNA signature as biomarkers for predicting breast cancer prognosis.

This study developed an immune-related long non-coding RNAs (lncRNAs)-based prognostic signature by ...

Metal loss defect detection and depth estimation using multi-spectral image analysis of cooling excited steel specimen with corrosion.

Imaging techniques have considerably improved corrosion-induced metal loss defect detection and seve...

Multi-strategy enhanced artificial rabbits optimization for prediction of grades in tourism service communication courses.

Predicting students' grades through their classroom behavior has been a longstanding concern in educ...

Multi class aerial image classification in UAV networks employing Snake Optimization Algorithm with Deep Learning.

In Unmanned Aerial Vehicle (UAV) networks, multi-class aerial image classification (AIC) is crucial ...

5-Hydroxymethylcytosine signatures as diagnostic biomarkers for septic cardiomyopathy.

At present, there are currently no molecular biomarkers for the early diagnosis of sepsis cardiomyop...

Quantitative CT Imaging in Chronic Obstructive Pulmonary Disease.

Chronic obstructive pulmonary disease (COPD) is a highly heterogeneous condition characterized by di...

Spiking frequency adaptability and multi-weight synergy in artificial neuronal modules bifunctional NbO memristors.

To address the limitations of current artificial neurons in neuromorphic hardware implementation, Nb...

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