Hospital-Based Medicine

Intensivists

Latest AI and machine learning research in intensivists for healthcare professionals.

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Showing 106-126 of 6,135 articles
Depression EEG classification based on multi-scale convolutional transformer network.

Depression electroencephalograph (EEG) classification based on machine learning is helpful for the a...

MTMedFormer: multi-task vision transformer for medical imaging with federated learning.

Deep learning has revolutionized medical imaging, improving tasks like image segmentation, detection...

ICU scoring systems: current perspectives and future directions.

PURPOSE OF REVIEW: This review aims to summarize the recent publications and future perspectives on ...

Deep Learning based Collateral Scoring on Multi-Phase CTA in patients with acute ischemic stroke in MCA region.

BACKGROUND AND PURPOSE: Collateral circulation is a critical determinant of clinical outcomes in acu...

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...

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...

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...

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...

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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